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Mechanical Engineering Manager (Gas Turbine- Power Generation)
Pacifico Energy
dallas, tx
Compensation: 90.000 - 130.000

About Us

Pacifico Energy is a global energy infrastructure firm supporting complex, large load projects from development through to operations. The company serves as a trusted partner across engineering, financing, construction, and optimization, delivering tailored power solutions for large energy users, including data centers. With a proven international track record and over 15 years as a large-scale developer, Pacifico brings speed and knowledgeable oversight to projects from start to finish.

Position Overview

We are seeking a skilled and experienced Mechanical Engineering Manager with a focus on gas turbines for power generation projects that integrate gas turbines, PV solar, BESS, and other technologies to meet the unique energy demands of large industrial facilities and data centers. The ideal candidate will possess a strong background in mechanical engineering, with a specialization in the design, installation, operation, and maintenance of gas turbines in power plants. This role will involve working on cutting‑edge energy projects, optimizing turbine performance, ensuring reliable operation, and addressing technical challenges in the energy production process.

Key Responsibilities

  • Gas Turbine System Design & Development
    • Design and develop gas turbine systems and subsystems for power generation applications, ensuring they meet project specifications, safety standards, and regulatory requirements.
    • Conduct thermodynamic and mechanical performance analysis to optimize gas turbine efficiency and associated systems.
    • Collaborate with electrical and civil engineers to integrate gas turbine systems within the overall power plant design.
  • Performance Monitoring & Optimization
    • Analyze the performance of gas turbines and related systems, using both real‑time data and simulations.
    • Identify opportunities for performance improvements, cost reductions, and efficiency gains through modifications, upgrades, and preventive maintenance.
    • Troubleshoot mechanical issues, diagnosing root causes of performance deviations or failures and developing solutions to mitigate risks.
  • Installation & Commissioning
    • Oversee the mechanical installation and commissioning of gas turbines and associated equipment, ensuring that they meet design specifications and industry standards.
    • Provide technical support during the start‑up phase and troubleshooting to ensure smooth system integration.
    • Ensure that all installation work complies with safety protocols, environmental standards, and operational requirements.
  • Maintenance & Reliability Engineering
    • Develop and implement maintenance strategies to ensure the long‑term reliability and efficiency of gas turbines.
    • Create and maintain detailed records of turbine performance, maintenance activities, and inspections.
    • Recommend improvements to enhance turbine longevity, reduce downtime, and optimize operation cycles.
  • Project Management & Coordination
    • Work closely with gas turbine OEMs and lead technology screening and gas turbine selection for projects portfolio.
    • Prepare scope of work for gas turbine RFPs and evaluate proposals leading technical clarifications and negotiations.
    • Manage the execution of gas turbine‑related projects, ensuring that schedules, budgets, and resources are effectively coordinated.
    • Work closely with project managers, contractors, and suppliers to ensure the timely and cost‑effective delivery of power generation systems.
    • Review and approve technical specifications, contracts, and documentation related to turbine procurement and installations.
  • Technical Support & Troubleshooting
    • Provide expert technical support during plant operation, including troubleshooting turbine performance issues and offering on‑site solutions.
    • Work with plant operators and maintenance teams to identify and resolve operational or mechanical issues quickly and efficiently.
    • Stay up‑to‑date with the latest advancements in gas turbine technologies, energy generation systems, and industry best practices.
    • Assess the impact of new technologies or materials on turbine performance and make recommendations for their integration.
  • Compliance & Safety
    • Ensure that all work is performed in accordance with safety guidelines, environmental regulations, and industry standards (e.g., ASME, API, ISO).
    • Conduct risk assessments and safety audits related to gas turbine operations and maintenance.
    • Implement safety measures to prevent accidents, mechanical failures, and environmental hazards.

Required Qualifications & Skills

  • Education: Bachelor’s degree in Mechanical Engineering, Power Engineering, or a related field. A Master’s degree or relevant certifications (e.g., Gas Turbine Certification, ASME) would be a plus.
  • Experience:
    • Minimum of 5 years of hands‑on experience in mechanical engineering, specifically working with gas turbines for power generation.
    • Proven experience in the design, operation, maintenance, and optimization of gas turbine systems in power plants.
    • Familiarity with different types of gas turbines (heavy‑duty, aero‑derivative, industrial) and associated auxiliary systems (compressors, combustion chambers, etc.).
    • Experience with microgrid design and implementation, particularly in industrial and data center environments.
    • Expertise in the operation, integration, and optimization of gas turbines, PV solar systems, and energy storage solutions in hybrid configurations.
  • Technical Skills:
    • Strong knowledge of thermodynamics, fluid mechanics, and mechanical design principles.
    • Proficiency in engineering software (e.g., AutoCAD, MATLAB, Thermoflow, GT Pro).
    • Experience with gas turbine performance analysis tools and troubleshooting techniques.
  • Project Management Skills:
    • Ability to manage projects from conception through execution, including timeline management, budgeting, and coordination with cross‑functional teams.
  • Communication & Teamwork:
    • Excellent written and verbal communication skills to coordinate effectively with engineers, management, and other stakeholders.
    • Strong collaboration skills and the ability to work in multidisciplinary teams.

Desirable Skills & Attributes

  • Familiarity with advanced gas turbine technologies, including combined‑cycle and cogeneration systems.
  • Knowledge of gas turbines and associated systems: Heat Recovery Steam Generator (HRSG), etc.
  • Knowledge of control systems and instrumentation related to gas turbines.
  • Experience with energy efficiency programs, emissions reduction, and sustainability initiatives.
  • Strong problem‑solving and critical‑thinking skills.
  • Ability to work under pressure and meet project deadlines.

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Associate Principal Designer, Interiors
HDR, Inc.
dallas, tx
Compensation: 140.000 - 180.000

Associate Principal, Interiors

HDR seeks an Associate Principal to lead interior design projects, mentor talent, and drive business growth.

Responsibilities

  • Partner with Interiors and Office Leadership to support operational plans and processes that meet project excellence goals.
  • Participate in strategic marketing pursuits, client interviews, and presentations to win new projects and clients.
  • Advocate for the improvement and maintenance of project excellence.
  • Serve as a role model and mentor, positively motivating, challenging, and inspiring others to pursue design excellence.
  • Schedule and sponsor both formal and informal design reviews.
  • Establish and support office environments and cultures that promote design excellence and HDR's brand.
  • Promote HDR to potential candidates and assist with the interview process for new hires when appropriate.
  • Co‑lead design, technical, and management objectives with a commitment to the successful completion of multiple projects, in alignment with HDR's design philosophy.
  • Demonstrate technical expertise in the creation and completion of documents and details across all project phases.
  • Advocate for sustainable approaches and practices that promote healthy environments and the well‑being of occupants.
  • Collaborate and co‑create ideas and concepts within a team, and across disciplines in the successful delivery of projects at all scales and complexity.

Required Qualifications

  • Bachelor's degree in Interior Design, Interior Architecture, Architecture (from an accredited school) or closely related field.
  • Active interior design certificate holder or registered architect in the country you reside.
  • Minimum of 12 years of experience in a relevant design firm environment.
  • Experience with Microsoft Office programs.
  • Skilled in Revit and Bluebeam.
  • Demonstrate skills in team leadership, collaboration, mentoring, motivational/organizational and people skills.
  • Strong written and verbal communication skills.
  • Attitude and commitment to being an active participant of our employee‑owned culture.

Preferred Qualifications

  • Professional registration/licensure at the local level.
  • Ability to lead teams, develop presentations and present to clients.
  • Emerging knowledge and experience within the local and regional market.
  • Active member in industry associations.
  • Sustainability credentials/accreditations/certificates in the country you reside.
  • Experience with Adobe Creative Suite, Rhino, Enscape.
  • Stronger consideration for candidates with health, science, higher education and/or civic experience.

Location

Dallas, Texas, United States

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Head of Live Production & Stage Operations
Square
sacramento, ca
Compensation: 90.000 - 140.000

AT&T Performing Arts Center seeks a Director of Production to lead the Production Department for all shows and events at the venues and on-campus/off-campus pieces. The role requires extensive collaboration across departments and oversight of a production staff to ensure high-quality technical results.

The successful candidate will oversee annual OPEX/CAPEX budgets, crew scheduling, and safety programs, while maintaining strong relationships with resident companies, vendors, and unions.

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Automation Manufacturing Engineering Manager II
Northrop Grumman
palmdale, ca
Compensation: 133.100 - 199.700

Northrop Grumman in Palmdale, CA seeks an Automation Manufacturing Engineering Manager 2 to lead the tooling and automation program within the Tooling organization. The role oversees automated equipment, drives continuous improvement, and mentors engineers across multiple production lines.

You will partner with industrial engineering, manufacturing, and operations teams, require a STEM degree with 5+ years of tooling experience, and the ability to obtain DoD clearance.

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Senior Radio Network Systems Engineer
Peraton
dallas, tx
Compensation: 86.000 - 138.000

Peraton is seeking a NEXCOM Senior Systems Design Engineer in Dallas, TX to lead MBSE-driven systems engineering for large-scale radio network deployments across FAA facilities. You will drive site surveys, configurations, racks, and cable routings while developing installation packages and MBSE-based documentation.

The role requires strong communication, cross-functional collaboration, and experience with site engineering for radio equipment.

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Senior Radio Frequency Design Engineer
Advanced Technology Search
dallas, tx
Compensation: 110.000 - 160.000

Overview

We are working on behalf of a leader in MMICs, Modules and Subsystems for Defense applications. They have a group in the Dallas TX area, where they design and build Solid State Power Amplifiers for Defense, EW, Radar and Comms. We need an RF Design Engineer who will be based in the Dallas, TX area. The design engineer will analyze customer subsystems, help define and design products, and drive them through to production.

Responsibilities

  • Analyze customer subsystems, help define and design products, and drive them through to production.

Qualifications

  • BSEE or MSEE with 4-7+ years of experience designing Power Amplifiers or other circuits at the module/subsystem level, ideally for defense, SATCOM, or wireless infrastructure applications.
  • Strong EMSIM/HFSS background. PA design and some understanding of thermal issues is a big plus.

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Senior Sales Engineer – OEM Growth & Automation Solutions
SMC
boise, id
Compensation: 90.000 - 150.000

SMC is seeking a Senior Sales Engineer to represent the company in new and existing accounts, including distributors, and to grow market share through strategic account development and value-based solutions.

You will lead the sales process, build relationships with senior decision makers, collaborate with internal teams, and drive ROI analyses and business growth through automation solutions. Expect travel and on-site client engagements as part of the role.

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HARDWARE ARCHITECT
Stellantis NV
auburn, al
Compensation: 120.000 - 180.000

Build your brand. Tell your story. Take advantage of a rare opportunity to start from the ground up and build something great. We are looking for technology game changers to lead Stellantis into a fundamental transformation within the automotive industry. Technology is going to disrupt the automotive industry significantly in the next decade and our organization is seeking high potential candidates to transform the company with a focus on the customer experience.

The main job responsibilities will include but not limited to:

  • To drive the HW architecture decisions design for next Stellantis generation computing system/hardware architecture, considered internal and external stakeholder requirements while reaching the highest scalable, reusable and cost optimized solutions
  • To be the coach for translating business requirements into platform architecture hardware, SoCs and other components to support a scalable system solution
  • To drive the Design, development, and analysis of overall platform architecture and partitioning of features onto efficient hardware to meet use cases and workloads in terms of performance, scalability, manageability, reliability, and security requirements.
  • To drive the concept design, prototyping, engineering, testing, release and launch of a cutting-edge compute platform for IVI/Central and Zones while meeting cost, efficiency, reliability, and safety goals
  • To work closely with functional peers (Software, Systems, Purchasing, Functional Safety, Cyber-Security, Product Managers, …) targeting to establish and enable the Compute Technology Roadmap
  • To establish strong silicon supplier working relationships to understand product portfolio, technical performance capabilities, supply chain, and technology roadmaps
  • To drive technical reviews and analysis with Tier1 & Tier2 suppliers and ensure clear understanding of technical performance requirements, capabilities, manufacturing process and supply chain
  • To be the coach for developing performance specifications for computing platform based on target SoCs enabling component engineers to facilitate on-time sourcing activities in accordance with component development needs and vehicle program timing requirements
  • To drive internal design reviews, design assessments, design securitization activities on demand

Basic Qualifications:

  • Bachelor of Science in Electrical, Electronic, Compute, Aerospace Engineering, or equivalent program
  • Minimum of 8 years of experience in an architectural hardware/system role
  • Profound knowledge of state-of-the-art hardware systems, software tools and algorithms for interfaces required for sensors, actuators, firmware development, in-vehicle bus architectures, in-vehicle CPU/GPU/NPU computing platforms, image and audio signal processor, connectivity
  • Profound knowledge on ARM based architectures
  • Knowledge of Infotainment Systems and Zonal Architectures

Preferred Qualifications:

  • Experienced in industrial or automotive (preferred) area (TIER1, TIER2…)
  • Solid understanding with embedded electronics design constraints
  • Familiar with system/component design, advanced EE architecture topologies and safety
  • Knowledge of applicable safety standards including ISO 26262, NCAP, and other regulations, industry benchmarks and customer requirements
  • Deep expertise in creating safe and efficient system architectures and complex hardware-software systems including knowledge of testing
  • Master in Electrical, Electronic, Computer, Aerospace Engineering, or equivalent program

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Machine Learning Engineer, Local Search & Marketplace
NewsBreak
mountain view, ca
Compensation: 190.000 - 300.000

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we\'re proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence. If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit

About The Role

We are looking for a Machine Learning Engineer to build intelligent systems that connect consumers with relevant local information, businesses, and services.

You will work across areas such as search, recommendation, ranking, retrieval, user-intent understanding, personalization, and marketplace matching. Depending on your background and interests, you may focus on understanding consumer demand, improving search and recommendation relevance, or building models that more effectively match users with local supply.

This is a hands-on role with the opportunity to take machine learning solutions from problem definition and experimentation through production deployment and iteration. We welcome candidates across a range of experience levels, and the scope and level of the role will be calibrated based on the candidate\'s experience.

What You\'ll Do

  • Build and improve machine learning models for search, recommendation, ranking, retrieval, matching, and personalization.
  • Develop systems that understand user queries, behaviors, preferences, and context.
  • Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
  • Build and optimize end-to-end ML pipelines, from data preparation and model training to online serving and monitoring.
  • Partner with product, engineering, and data teams to define problems, identify opportunities, and translate business needs into scalable ML solutions.
  • Design and analyze online and offline experiments to measure model quality and product impact.
  • Improve key product outcomes such as relevance, engagement, conversion, retention, and marketplace efficiency.
  • Explore new ML and LLM techniques and bring them into production where they can deliver measurable value.

What We’re Looking For

  • Experience building machine learning, data mining, search, recommendation, ranking, NLP, or related systems through academic projects, internships, or industry work.
  • Strong programming skills in Python, Java, C++, or another relevant language.
  • Solid understanding of machine learning fundamentals, data structures, algorithms, and statistical analysis.
  • Experience with one or more of the following:
  • Search, retrieval, or learning-to-rank
  • Recommendation or personalization
  • Query understanding, intent classification, or NLP
  • Embeddings, semantic search, or large language models
  • Matching, marketplace optimization, or dispatch
  • Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions.
  • Strong collaboration and communication skills.
  • Interest in building production systems that serve real users and deliver measurable product impact.

Nice to Have

  • Experience deploying and maintaining machine learning models in production.
  • Experience with experimentation, including A/B testing, causal analysis, or marketplace experiments.
  • Familiarity with deep learning frameworks and ML infrastructure, such as PyTorch, TensorFlow, Spark, Kubernetes, or feature and model-serving platforms.
  • Experience building taxonomies, user-interest representations, knowledge graphs, or behavioral models.
  • Experience applying LLMs to search, recommendation, classification, or information retrieval.
  • Background in local search, local services, maps, commerce, marketplaces, delivery, mobility, or location-based products.
  • Experience at a consumer internet, search, recommendation, advertising, e-commerce, or marketplace company.

Annual Base Pay Range

$190,000 - $300,000

The US base salary range for this full-time position will vary based on job-related skills, level, experience, geographic location, and relevant education or training.

At NewsBreak, we design our overall rewards package to attract top talent. Depending on the position and level, the role may also be eligible for a discretionary bonus and equity. Your recruiter can share more details during the hiring process.

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.

Annual Base Pay Range

$190,000 - $300,000 USD

CPRA Privacy Notice for California Candidates

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Director, Pump Stations & Pipelines — Water Infrastructure
HDR
anchorage, ak
Compensation: 178.952 - 336.375

HDR in the United States seeks a seasoned Business Class Director to lead the Pump Stations and Pipelines practice, shaping technical strategy, risk management, and staff development across HDR's water portfolio.

You will partner with market sectors, mentor leaders, drive quality processes, and coordinate with operations while supporting client needs. This role requires 10+ years of leadership, engineering registration, and a willingness to travel up to 50%.

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Director, Pump Stations & Pipelines - Strategy & Engineering
HDR
columbia, sc
Compensation: 178.952 - 336.375

HDR is seeking a Bloodless? Just HDR: Pump Stations and Pipelines Business Class Director to lead technical capabilities across the organization. The role involves coordinating with market sectors, business groups and operations, managing risk, and ensuring high-quality project delivery.

Location is non-specific with travel about 50% and a focus on leveraging HDR's employee-owned culture to advance WTEM capabilities and industry leadership across HDR's national and regional teams.

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Senior FPGA Verification Engineer for High-Perf Trading
HPR
needham, ma
Compensation: 110.000 - 140.000
A leading provider of high-performance trading solutions is hiring a Senior Design Verification Engineer in Needham, MA. This role involves verifying FPGA systems for electronic trading, creating test plans, and mentoring junior engineers. Candidates should have over 5 years of relevant experience and proficiency in SystemVerilog. The position requires on-site work full-time, and sponsorship is not provided.
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Lead ML Data Scientist - Production AI & Growth
Samsung
mountain view, ca
Compensation: 230.000 - 280.000

Samsung is looking for a Data Science Lead to oversee a team, focusing on data-driven insights and maximizing the value of our data. This role involves examining business health, identifying product bottlenecks, and delivering data science projects that drive growth.

The preferred candidate will have a Master’s or PhD degree and strong experience in machine learning and data analytics, with a skill set that includes SQL and programming in Python or Go.

The salary range for this position in California is between $230,000 and $280,000.

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ML Engineer: Research-Driven AI Systems & MLOps
Wayve
mountain view, ca
Compensation: 100.000 - 130.000

Wayve, located in Mountain View, California, is seeking a Software Engineer to join their dynamic team. The successful candidate will collaborate with Applied Scientists and Machine Learning Engineers on groundbreaking projects, enhancing the capabilities of their products through innovative research.

The role requires experience in Python and MLOps, with an emphasis on delivering scalable solutions. This position offers an attractive compensation package and unique opportunities to shape the future of autonomous driving.

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Samsung Ads - Machine Learning Model Engineer - Mobile
Samsung
mountain view, ca
Compensation: 230.000 - 280.000

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, using the industry’s most comprehensive data to build the world’s smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big, complex projects with stakeholders and teams located around the globe.

We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.

Machine learning lies at the core of the advertising industry, and this is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large‑scale machine learning products with real‑world impact. You will work closely with and be supported by a talented engineering team and top‑notch researchers to work on exciting machine learning projects and state‑of‑the‑art technologies. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting‑edge machine learning products with a fast‑growing team.

This position will work on the mobile performance ads product, one of the most interesting but challenging machine learning products.

Location: Mountain View, CA

Responsibilities

  • A tech lead role to lead and deliver production‑grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.
  • Design, develop and deploy state‑of‑the‑art and scalable machine learning models to achieve different optimization goals (e.g., app‑install optimization, ROAS optimization, retention, etc.).
  • Research the latest machine learning technologies and keep up‑to‑date with industry trends and developments.
  • Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.
  • Create prototypes of new ML‑based solutions quickly and put them into production.
  • Closely work with internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.
  • Closely work with cross‑functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.
  • Mentor junior engineers and provide technical guidance.
  • Learn quickly and adapt to a fast‑paced working environment.

Skills and Qualifications

Experience Requirements:

  • Master’s or PhD degree in Computer Science or related fields.
  • 4+ years of industry experience with a Master’s degree or 2+ years of industry experience with a PhD degree.
  • Solid theoretical background in machine learning and/or data mining.
  • Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).
  • Hands‑on experience with production‑grade machine learning solutions. Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).
  • Extensive programming experience in Python, Go, or other OOP languages.
  • Familiarity with data structures, algorithms, and software engineering principles.
  • Proficiency in SQL and databases.
  • Strong communication and interpersonal skills to drive cross‑functional partnerships.

Preferred Experience Requirements

  • Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).
  • Basic knowledge about Amazon Web Services (AWS).
  • Experience with the advertising industry and real‑time bidding (RTB) ecosystem.

The salary range for this role, for candidates based in California, is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

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Machine Learning Engineer Intern - Conversational Search
Moveworks
mountain view, ca
Compensation: 30.000 - 60.000

Moveworks is a copilot platform that automates employee support with natural language processing.

What you will do:

  • You will work with a group of talented engineers with previous experience at Google, Facebook, LinkedIn, Uber, etc.
  • You will identify an applied machine learning problem in the enterprise search and question answering ecosystem.
  • You will have access to enterprise grade foundational model APIs, e.g. OpenAI ChatGPT, and use them to explore machine learning ideas.
  • You will learn practical modeling skills, as well as software skills to be a successful machine learning engineer.

Who you are:

  • Entering the last year of your bachelor’s or master’s degree; or currently pursuing a PhD.
  • Pursuing a degree in computer science or related fields.
  • Having strong coding skills.
  • Passionate about natural language understanding, information retrieval, or machine learning.

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Senior Electrical Engineer, Autonomous Vehicle Electronics
ISEE
dallas, tx
Compensation: 80.000 - 120.000

ISEE in Dallas, Texas is seeking a full-time electrical engineer to join their hardware team. The successful candidate will work on research and development of electrical engineering subsystems for autonomous vehicles. Responsibilities include embedded development, communication systems design, and PCB layout.

The ideal applicant will possess a relevant degree and demonstrate experience with prototyping and safety-critical designs. ISEE promotes a collaborative environment and is passionate about advancing technology in self-driving cars.

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Senior Analytics Engineer, AI-Driven Applied Analytics
Flybridge Staffing
boca raton, fl
Compensation: 100.000 - 130.000

Flybridge Staffing is seeking a Senior Analytics Engineer, Applied AI, to enhance a reputable organization in Boca Raton. This hybrid role focuses on using AI-powered tools to address complex analytics challenges across the business.

The ideal candidate should have a strong statistical and machine learning foundation, with a solid grasp on leveraging AI platforms for faster and more effective solutions. Collaboration with cross-functional teams and delivering actionable results through effective analytics is key.

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Senior ML Engineer: Generative AI for Enterprise
ServiceNow
mountain view, ca
Compensation: 120.000 - 150.000

ServiceNow is looking for a Machine Learning Engineer for the Moveworks team to scale and optimize a Generative AI product. You will work on designing API abstractions, optimizing the dialog engine, and collaborating across teams to enhance system performance.

The ideal candidate has a strong computer science foundation, expertise in scalable systems, and at least 2 years of professional experience. This role is based in Mountain View, California, requiring in-office presence.

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Staff Machine Learning Engineer, Agentic App Platform
ServiceNow
mountain view, ca
Compensation: 120.000 - 150.000

Overview

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with business systems through natural language to quickly find answers and automate tasks. We are powered by advanced LLMs, proprietary models, and an Agentic AI platform that enables AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks serves over 5.5 million employees at more than 350 companies, including 10% of the Fortune 500, to automate tasks and streamline operations. We have been recognized on the Forbes Cloud 100 and AI 50 lists, and named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business in the Best in Innovation category. Moveworks has also been recognized at Microsoft’s 2025 Partner of the Year and received the AI Breakthrough Award in 2024. In December 2025, Moveworks was acquired by ServiceNow to deliver a unified front door to work for all business systems, combining ServiceNow’s workflow automation with Moveworks’ Reasoning Engine and natural language capabilities.

By joining our team, you’ll contribute to the AI transformation at scale, backed by the global reach of ServiceNow and the agility of a high-growth company. We seek world-class talent to extend agentic AI to every employee across the business.

Join us.

ServiceNow

ServiceNow started in 2004 in San Diego, California. We are a global market leader delivering AI-enhanced technology to thousands of customers, empowering organizations to work smarter and faster. This is the beginning of our journey as we pursue our purpose to make the world work better for everyone.

The Role

The Role

Are you up for an exciting challenge? You will scale and optimize a cutting-edge Generative AI product that offers instant assistance to enterprise users. You will apply abstraction, scalability, and optimization to a dynamic, probabilistic, and generative conversational system. Join our Conversation Engine team to work at the core of Moveworks Generative AI product, scaling and optimizing it to meet enterprise demands. You will collaborate with ML engineers and cross-functional teams, iterating rapidly and using user behavior data to inform decisions. Your challenge is to scale and optimize our conversation engine to support hundreds of millions of users across multiple chat channels and use cases, while enhancing our end-to-end product infrastructure with engineering quality and robustness.

What you get to do in this role:

  • Construct an extensive product infrastructure with user-friendly interfaces that enable engineers and configurators to customize and optimize generative AI models, collect data and feedback, adapt to diverse enterprise use cases, and deliver domain-specific conversational experiences.
  • Design scalable API abstractions for the conversation platform that supports popular chat clients (e.g., MSTeams, Slack, Web) and provides a neutral API for other parts of the engineering system.
  • Optimize the dialog engine to support a wide range of conversational features, leveraging private domain knowledge for each enterprise customer in the cloud, and enable real-time multilingual translation. Achieve this with low memory footprint, low latency, and a streamlined development process for application engineers.
  • Champion best practices for coding patterns, API design, scalability, robustness, and optimization. Foster a culture of excellence and continuous improvement among engineers.
  • Provide comprehensive insights and visibility into the performance of our conversational AI product, including a robust logging and tracing framework, debugging and triaging tools, and automated metrics for monitoring and analysis.
  • Collaborate with ML engineers, application engineers, product teams, and customer support to drive new features and scalability initiatives.

To be successful in this role you have

  • A strong foundation in computer science and software engineering, with experience building scalable systems.
  • A deep understanding of clean, modular, and scalable API design, with ability to champion coding best practices and elevate code quality.
  • A passion for optimizing systems and performance, with experience in tracing, logging, and metrics; ability to identify and resolve latency bottlenecks, race conditions, and throughput limits.
  • The ability to independently research new requirements and develop innovative solutions in a fast-paced, iterative environment.
  • Strong communication skills to articulate rationales and design approaches and to collaborate across teams.
  • A bachelor’s degree or higher in computer science or a related field.
  • 7+ years of professional development experience building systems at scale.

Work Personas

We support a flexible and distributed work environment. Work personas (flexible, remote, or in-office) are categories assigned to employees based on work nature and location. Learn more here. Eligibility may involve the distance between your residence and the nearest ServiceNow office, verified by a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, applicants with arrest or conviction records will be considered as required by law.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or need an alternative method to apply, please contact for assistance.

Export Control Regulations

Positions requiring access to controlled technology may be subject to export control regulations. ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval required by relevant authorities.

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Director of Meat Production
Corfini Meat & Seafood
sacramento, ca
Compensation: 90.000 - 120.000

Onsite at the nearest Corfini facility in CA, OR, WA, UT, or NV

Travel: 50–75%

Bonus: Based on company profitability

Corfini Meat & Seafood is a leading premium food production and distribution company specializing in high‑quality meats, seafood, gourmet products, and culinary solutions. We proudly support top restaurants, hospitality groups, and foodservice operators with exceptional products, unmatched service, and a commitment to food safety, innovation, and operational excellence.As we continue to grow, we’re seeking a dynamic Director of Meat Production to elevate our multi‑facility operations and drive best‑in‑class performance across the organization.

Position Overview

The Director of Meat Production oversees all meat production operations across Corfini facilities, ensuring consistent execution in production planning, labor management, yield optimization, food safety, quality, equipment utilization, and operational efficiency. This leader partners closely with Purchasing, Sales, Inventory, Food Safety, Maintenance, Warehouse, and Logistics teams to ensure alignment and continuous improvement.

Key Responsibilities

Production Operations & Performance

  • Standardize production procedures across all facilities
  • Lead daily production planning to maximize efficiency and fulfillment
  • Improve yields, labor efficiency, throughput, downtime, waste, and product utilization
  • Ensure staffing aligns with production volume and growth goals
  • Build reporting systems and accountability frameworks
  • Drive continuous improvement, automation, and cost‑reduction initiatives
  • Support new product launches and operational expansion

Food Safety & Quality Assurance

  • Maintain compliance with USDA, FDA, HACCP, SSOP, GMP, SQF/BRC, and all regulatory standards
  • Ensure all products meet Corfini’s quality expectations
  • Partner with Food Safety teams on corrective and preventive actions

Leadership & Team Development

  • Lead and develop Production Managers, Supervisors, Leads, and hourly teams
  • Foster a culture of safety, urgency, accountability, and operational excellence
  • Set performance expectations and provide ongoing coaching

Cross‑Functional Collaboration

  • Partner with Purchasing to optimize raw material utilization
  • Support Warehouse & Logistics in inventory flow and fulfillment
  • Collaborate with Maintenance on preventive maintenance for grinders, slicers, saws, patty machines, packaging equipment, conveyors, and refrigeration systems
  • Align production schedules with Sales and Inventory teams
  • Analyze and report on KPIs including yield, labor efficiency, throughput, downtime, order accuracy, waste, and giveaway
  • Reduce aged inventory, trim losses, and shortages
  • Support financial goals through labor optimization and waste reduction

Required Skills & Qualifications

  • Proven leadership experience in production or manufacturing
  • Extensive knowledge of meat processing operations and food manufacturing workflows
  • Strong understanding of USDA, FDA, HACCP, GMP, SQF/BRC, and SSOP compliance
  • Analytical mindset with the ability to interpret KPIs and drive corrective action
  • Excellent communication, organization, and cross‑functional collaboration skills
  • Experience managing multiple facilities in a fast‑paced environment
  • Expertise in labor planning, yield optimization, and operational efficiency
  • Proficiency in Microsoft Office and production/inventory management systems

Education & Experience

  • Bachelor’s degree in Food Science, Operations Management, Business, Industrial Engineering, or related field preferred
  • 7–10+ years of progressive leadership in foodservice meat production, food manufacturing, or protein processing
  • Experience leading large teams in USDA‑regulated environments required
  • Proven track record of improving productivity, performance, and food safety compliance

Physical Requirements

  • Ability to work in refrigerated environments for extended periods
  • Ability to stand, walk, bend, and move throughout facilities
  • Ability to lift up to 25 lbs occasionally
  • Ability to travel frequently between facilities
  • Must comply with PPE, food safety, and plant safety requirements
  • Flexibility to work hours aligned with production needs

Why Join Corfini Gourmet

This role is ideal for a production leader who wants meaningful impact, visibility, and long‑term growth. At Corfini, you will:

  • Lead high‑impact, multi‑facility operations that shape company‑wide performance
  • Improve equipment reliability, uptime, and food safety across a growing network
  • Collaborate closely with Operations, Quality, and Executive Leadership
  • Join a stable, expanding organization investing heavily in facilities and infrastructure
  • Grow your career in a hands‑on technical leadership environment where expertise is valued

If you’re a results‑driven production leader ready to shape the future of Corfini’s operations, we would love to connect.

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