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Backend Software Engineer, AI Applications

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The U.S. power grid wasn’t built for the AI era. Data centers are exploding in demand, renewables are lagging, and businesses are stuck with utility bills that grow faster than inflation.

TrueMeter is fixing that. We’re building the AI Energy Agent that becomes the default way any business pays for power — consolidating messy, multi‑utility bills into a single and cheaper subscription. We launched our MVP in May 2024. Since then, we’ve onboarded millions of dollars in energy spend from major brands. We’re seed‑stage, backed by top Silicon Valley investors, and moving fast.

If you love building AI‑powered systems from scratch and want to work on something that actually matters for the planet, keep reading.

The Role

We’re hiring a Backend Software Engineer (AI Applications) who thrives in early‑stage chaos — someone who can go from an idea or prototype to a working system in days, not months.

You’ll build the backend that powers our AI Energy Agent: LLM‑driven systems that read, structure, and reason about energy data. You’ll integrate with dozens of utility APIs, orchestrate data pipelines, and develop services that make AI truly useful in production.

You’ll work directly with the co‑founder/CTO and other engineers, designing backend systems that scale from 10 customers to 10,000 — and you’ll do it fast, with ownership, and with pride.

What You’ll Build

• AI‑Driven Backends: Build production systems that connect LLMs and coding agents with our data and product APIs.
• Service Architecture: Design and deploy fast, secure microservices in Python (and optionally TypeScript).
• Data Integration: Build reliable connectors to energy company portals and public data sources.
• Infra for Intelligence: Help design the backend infrastructure that lets AI agents read, reason, and act autonomously across our data stack.
• Performance & Scale: Own systems that need to run 24/7 — low latency, high reliability.
• Observability & Tooling: Ship CI/CD pipelines, logs, and metrics to keep everything visible and maintainable.
• Collaboration: Work with customer success/sales teams to translate messy real‑world problems into clean technical abstractions.

Who You Are

• 1+ year of experience building production backends or full‑stack systems (Python, GCP or AWS infrastructure).
• AI‑native mindset — excited to integrate LLMs and tools like LangChain, OpenAI APIs, or custom agents into real systems.
• Rapid prototyper — can turn an idea into a running system quickly and iterate based on feedback.
• Clear communicator — able to explain complex systems to both technical and business teams.
• Independent executor — scopes work, executes, and delivers without handholding.
• Startup‑ready — understands things break, priorities shift, and that’s what makes it fun.
• Impact‑driven — connects code directly to customer outcomes and business metrics.
• Ambitious — you care deeply about impact and are willing to put in the work to help build something big.

Bonus points if you’ve built production systems involving energy, fintech, or automation.

Why Join TrueMeter

Because you’ll get to build the AI backbone of the energy economy — at a time when both AI and energy are being reinvented.

You’ll work directly with Stanford alum founders and an elite set of engineers who ship fast, think deeply, and care about doing things that matter. You’ll see your code go from prototype to production in days — and know that it’s helping real businesses save money and reduce emissions.

This is a from‑scratch, high‑ownership, high‑impact role. If you want to help redefine how the physical world runs on AI, this is your shot.

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

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A leading AI company in San Francisco is looking for experienced engineers to develop cutting-edge products in AI technology. You will work with real-time speech recognition and build integral systems for communication. The ideal candidate should have a degree in computer science, at least 4 years of hands-on experience and a passion for innovative AI solutions. Join a dynamic team that values craftsmanship and customer obsession, and offers a competitive package including flexible time off and comprehensive benefits.
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A leading fintech company in San Francisco is looking for a Principal Software Engineer, Backend, to drive technical direction and architecture for its lending platform. The ideal candidate will have over 10 years of software engineering experience and leadership skills in financial system design. This is a full-time, mid-senior level role offering competitive compensation and benefits, fostering a collaborative and innovative work environment.
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A leading AI Customer Service provider is looking for a Senior Solutions Architect in San Francisco to help businesses maximize the value of their customer service solutions. In this role, you'll be the technical advisor to customers, leading integrations and ensuring successful deployments of our AI products. Ideal candidates will have over 6 years of experience in similar roles, strong technical expertise in APIs and automation, and a passion for customer success. This position offers competitive compensation and well-rounded benefits, ensuring a fulfilling work environment.
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Duration: 3 Months

Location: San Francisco, CA (onsite in a hybrid model)

Job Description

• We are seeking an experienced Applied UX Researcher to join our team in San Francisco, CA, working in a hybrid onsite model. In this role, you will lead end-to-end qualitative research initiatives that shape product strategy and design decisions across a diverse portfolio of B2C and B2B (advertiser-focused) products. You’ll partner closely with cross-functional teams—including Product, Design, and Engineering—to uncover actionable insights, identify user needs and pain points, and drive user-centric decision-making.
• The ideal candidate is a self-starter with deep expertise in qualitative methods such as usability studies, diary studies, and concept testing, as well as strong analytical and storytelling skills to communicate insights effectively. This is an opportunity to make a tangible impact by guiding strategic product direction through thoughtful, ethical, and data-driven research.

Responsibilities

• Scope research projects, translating stakeholder questions and hypotheses into research questions, and independently defining the appropriate methods to address the team needs.
• Independently conduct qualitative research methods end-to-end, including usability studies, concept tests, diary studies, and user interviews, to identify user needs, painpoints, and opportunities that guide product decision-making by demonstrating comprehensive understanding of the user and the business.
• Perform research that guides user-centric thinking and a vision/strategy that is shared with cross-functional partners.
• Clearly communicate research findings, insights, and recommendations demonstrating a comprehensive understanding of the user and business, partnering with cross-functional teams to extend the impact and visibility of the research.
• Communicate research insights and recommendations to partners or stakeholders, addressing and anticipating challenges and questions.
• Guide product decisions through research by analyzing, consolidating, or synthesizing what is known about user, product, service, or business needs.
• Utilize broad and deep understanding of the business goals, product ecosystem, user trends, and industry to guide research-driven, user-centric thinking and decision-making.
• Anticipate evolving user needs and research opportunities by evolving or adapting the research strategy for a large or complex research project or program.
• Lead and/or execute comprehensive analysis for complex research projects or programs, such as defining and implementing qualitative or quantitative frameworks, or development and ownership of surveys that define strategic priorities for products across teams.
• Build partnerships with cross functional stakeholders including product, design and engineering to influence the team's strategy and gain support for research-based, user-centric solutions.

Experience (Mandatory)

• 5+ years of experience in an applied research setting, or similar.
• Extensive experience with independently executing qualitative UX Research methods (e.g., usability studies, contextual inquiry, surveys, etc.).
• Relevant product research experience with B2C and B2B (ideally advertiser) products.

Experience (Desired)

• Proficiency in UX research methods with advertiser or other B2B user groups.

Additional skills required include

• Proficiency in qualitative UX research methodology (including usability studies, concept tests, diary studies, and user interviews).
• Proficiency in UX research tools.
• Proficiency in Ethical UX research.
• Proficiency in Product development lifecycle.
• Proficiency in Human/user behavior.
• Proficiency in UX storytelling.
• Advanced proficiency in Research processes.
• Proficiency in UX systems thinking.

Education

• Bachelor’s degree or equivalent practical experience.

About US Tech Solutions

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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P-358

This role requires candidates to work onsite in San Diego, CA.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
  • Main use cases moving from ‘win’ to production
  • Enablement / user growth plan
  • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
  • Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
  • Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$161,280 — $225,792 USD

Zone 2 Pay Range

$161,280 — $225,792 USD

Zone 3 Pay Range

$161,280 — $225,792 USD

Zone 4 Pay Range

$161,280 — $225,792 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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A leading financial technology firm in San Francisco is seeking a Senior Staff Software Engineer to lead the rebuild of their customer onboarding platform. The role involves designing and developing robust backend services, mentoring team members, and simplifying complex systems across multiple product lines. This position offers a competitive salary and an opportunity to greatly impact operational success.
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Linux Software Engineer – Ubuntu for Next‑Gen Silicon

Canonical is a leading provider of open‑source software and operating systems for global enterprise and technology markets. Canonical publishes Ubuntu, a widely used platform for public cloud, data science, AI, engineering innovation, and IoT. We are remote‑first, pride ourselves on excellence, and are a pioneer of global distributed collaboration with developers in 75+ countries.

Location: This is a globally remote role.

As part of Canonical’s Partner Engineering Team, you will work across the full Linux stack to ensure new silicon technologies—new hardware accelerators, AI stacks, confidential computing, networking, virtualization, and containerization—are optimized for emerging silicon.

Responsibilities

• Collaborate proactively within a distributed team.
• Foster a software ecosystem with a seamless user experience for all Ubuntu users.
• Evaluate contributions of other engineers to maintain high‑quality software standards.
• Shape the future of Ubuntu via new ideas in your areas of interest and by advising on work being done elsewhere.
• Collaborate with other teams in the Ubuntu and Debian communities, upstream projects, and commercially supported customers.
• Debug issues on open source code and team‑maintained code.
• Help customers integrate their apps, SDKs, build OS images, and optimize applications with Ubuntu Core, Desktop, and Server.
• Work with a team to maintain Ubuntu, silicon features, and silicon‑optimised packages across platforms and technologies—Servers, HPC and AI systems, IoT devices, PCs, SmartNICs, automotive systems, AI stacks, graphics/audio multimedia stacks, virtualization and containers, hardware enablement stacks, new architectures, toolchains, package management, dependencies, and platform security (secure boot, FDE, Ubuntu Core, confidential computing).
• Work from home with global travel 2–4 weeks for internal events.

Qualifications

• Exceptional academic track record from high school and university.
• Undergraduate degree in a technical subject or a compelling narrative about an alternative chosen path.
• Love technology and working with brilliant people.
• Curious, flexible, articulate, and accountable.
• Value soft skills and are passionate, enterprising, thoughtful, and self‑motivated.
• Value building partnerships with a diverse set of internal and external groups.
• Strong fundamentals in C, C++, and Python.
• Experience or interest in learning Linux distribution packaging.
• Experience or interest in open‑source maintenance or contribution and licenses.
• Fundamental understanding of package management and dependency resolution.

Additional Skills That You Might Also Bring

• Experience with one or more of the following:
• Graphics, audio, or multimedia stacks.
• Virtualization and containers (Docker, OCI, Kubernetes).
• Hardware enablement for platforms and devices, including SmartNICs, NVMe storage, GPUs, audio components, and sensors.
• Performance optimization.
• Toolchain development and maintenance.
• Networking protocols and technologies (TCP/IP, DHCP, HTTP/REST).
• Security best practices.
• IoT and embedded systems, including board‑level hardware, SoCs, BMCs, bootloaders, firmware, operating systems, applications, and services.

What We Offer Colleagues

• Distributed work environment with twice‑yearly team sprints in person.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review.
• Recognition rewards.
• Annual holiday leave.
• Maternity and paternity leave.
• Team Member Assistance Program & Wellness Platform.
• Opportunity to travel to new locations to meet colleagues.
• Priority Pass and travel upgrades for long‑haul company events.

About Canonical

Canonical is a pioneering technology firm that leads the world’s move to open source. We publish Ubuntu, one of the most important open source projects, powering AI, IoT, and the cloud. We are remote‑first, global, and set high standards for excellence.

Equal Opportunity Statement

Canonical is an equal‑opportunity employer. We foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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About Clay

Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.

We believe that modern GTM teams win by finding GTM alpha — a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low‑ego people to help teams find their GTM alpha.

Why is Clay the best place to work?

• Customers love the product (100K+ users and growing)
• We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
• Incredible culture (our customers keep applying to work here)
• Well‑resourced — We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world‑class investors like Capital G (Google), Sequoia and Meritech

Read more about why people love working at Clay here and explore our wall of love to learn more about the product.

Software Engineer, Infrastructure

In this role, you’ll join our growing infrastructure team in building and fine‑tuning our infrastructure to keep our services running smoothly. We’re looking for someone who’s excited about automation and continuous improvement. While your main focus will be on infrastructure, coding skills are a must. As a growing startup, we all jump in where needed, so you’ll need to be comfortable taking on a variety of roles.

What You’ll Do

• Architect, design, implement, and manage robust, scalable, and secure infrastructure solutions.
• Develop, maintain, and enforce best practices for CI/CD, infrastructure as code, and automation.
• Oversee the management and optimization of cloud infrastructure, ensuring high availability, performance, and cost‑efficiency.
• Implement monitoring, logging, and alerting solutions to maintain system health and quickly resolve issues.
• Enhance developer experience across teams, including the forward‑looking strategy and incorporation of the latest AI tooling, coding agents, and advanced automation.
• Design, implement, and maintain internal tooling and automation.
• Work with teams across the company to ensure we achieve the right balance of developer velocity, reliability and performance, and cost efficiency.

What You’ll Bring

• 5+ years of experience.
• Experience with containerization and orchestration tools.
• Strong understanding of CI/CD concepts and tools.
• Knowledge of infrastructure automation tools.Experience working cross‑team to improve developer efficiency.
• Proficiency in one or more programming languages.
• Familiarity with our stack or ability to learn unfamiliar technologies quickly:
• Aurora Postgres RDS, Elasticache Redis, Docker + ECS, Lambda, OpenSearch.
• Terraform and Atlantis.
• CircleCI, Netlify, Playwright.
• Cloudwatch, Datadog, Mezmo.
• Typescript, Python.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries: Software Development

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A leading technology company is seeking a Senior Software Engineer for Python Numerical Computing Libraries in Santa Clara, CA. In this role, you will architect and develop accelerated and distributed implementations for numerical algorithms using Python, C++, and CUDA. The ideal candidate will have extensive experience in performance optimization and a strong understanding of numerical methods. As part of a dynamic team, you'll contribute to the evolution of GPU-accelerated libraries, supporting a variety of applications in scientific computing and data analytics.
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A leading AI company in San Francisco is seeking a Staff Software Engineer to architect and scale fullstack systems for autonomous AI agents. This hands-on leadership role requires over 6 years of software engineering experience, expertise in Typescript, React, NextJS, and NodeJS, as well as a demonstrated ability in driving technical vision. The ideal candidate thrives in a fast-paced environment and possesses a strategic mindset. Join us to make a significant impact in AI development.
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A leading gaming platform is seeking a Senior Software Engineer - Site Reliability to ensure system performance, reliability, and efficiency. Responsibilities include creating resilient software, designing testing frameworks, and developing observability services. The ideal candidate has a BS in Computer Science and 3-4 years of relevant experience in Site Reliability Engineering. The role offers a competitive salary range of $222,910 to $289,460 and requires onsite presence Tuesday to Thursday in California.
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Senior Machine Learning Engineer, Personalization and Recommendations

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About Quizlet

At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s build the future of learning. Join us to design and deliver AI‑powered learning tools that scale across the world and unlock human potential.

About the Team

The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting‑edge machine learning, scalable infrastructure and insights from learning science. You’ll collaborate closely with product managers, data scientists, platform engineers, and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction, and measurable learning outcomes.

About the Role

As a Senior Machine Learning Engineer on the Personalization & Recommendations team, you will design, build, and optimize large‑scale retrieval, ranking and recommendation systems that directly shape how learners discover and engage with Quizlet. You’ll bring strong expertise in modern recommender systems—from deep learning–based retrieval and embeddings to multi‑task ranking and evaluation—and contribute to the evolution of Quizlet’s personalization capabilities. Additionally, you will work at the intersection of machine learning, product, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office. To foster team collaboration, we require employees to be in the office at least three days per week : Monday, Wednesday, and Thursday and as needed by your manager or the company.

In this role, you will:

• Design and implement personalization models across candidate retrieval, ranking, and post‑ranking layers, leveraging user embeddings, contextual signals and content features
• Develop scalable retrieval and serving systems using architectures such as Two‑Tower models, deep ranking networks, and ANN‑based vector search for real‑time personalization
• Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training‑serving consistency, observability, and robust monitoring
• Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
• Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
• Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
• Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
• Mentor junior and mid‑level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
• Champion collaboration, inclusion, curiosity, and data‑driven problem solving, contributing to a healthy and productive team culture

What you bring to the table:

• 5+ years of experience in applied machine learning or ML‑heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
• Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
• Strong hands‑on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices—including model registries, feature stores, monitoring, and drift detection
• Deep understanding of retrieval and ranking architectures, such as Two‑Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real‑world problems
• Experience with large‑scale embedding models and vector search, including FAISS, ScaNN, or similar systems
• Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
• Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross‑functional partners
• A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
• Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals

Bonus points if you have:

• Publications or open‑source contributions in RecSys, search, or ranking
• Familiarity with reinforcement learning for recommendations or contextual bandits
• Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM‑based reasoning
• Prior work in consumer or EdTech applications with personalization at scale

Compensation, Benefits & Perks:

• Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $183,360 - $248,000, depending on location and experience, as well as company stock options
• Collaborate with your manager and team to create a healthy work‑life balance
• 20 vacation days that we expect you to take!
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
• Employer‑sponsored 401(k) plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, commuter benefits, and wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice

Why Join Quizlet?

• Massive reach: 60M+ users, 1B+ interactions per week

A financial technology company in San Francisco is seeking engineers to enhance their banking platform and develop APIs for member-facing products. In this role, you will oversee projects from architecture to implementation, improving system reliability and scalability. Candidates should have at least 2 years of development experience and knowledge of Ruby on Rails. With a competitive salary between $112,140 and $218,900, alongside comprehensive benefits, this role offers a unique opportunity to impact financial services.
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Bonsai Robotics develops affordable, vision-based autonomy that makes off-road equipment smarter, safer, and more productive. We are redefining outdoor autonomy with Bonsai Intelligence, a connected platform that’s inspired by biology to see, think, and act with precision like a human. We bring together advanced perception, embodied AI, integrations with equipment manufacturers, and our compact, modular Amiga vehicles to deliver reliable automation to the world’s most demanding field operations—reducing costs and increasing operational efficiencies.

Job Overview

We are seeking a highly skilled Senior Robotics Software Engineer to develop software for off-road autonomous systems. The ideal candidate brings experience spanning multiple areas of autonomy. This candidate will unlock the potential of Bonsai’s Visionsteer technology and deliver value to end customers through safe and reliable systems.

What you’ll do

• Develop autonomy algorithms enabling precise, robust navigation of outdoor vehicles in variable terrain and degraded-GNSS environments.
• Integrate sensors with hardware teams, selecting and calibrating the right systems for off-road operation.
• Design, test, and maintain autonomy stack components for route following, obstacle avoidance, and safety-critical behaviors.
• Validate via simulation and field testing, analyzing issues and rapidly deploying improvements.
• Collaborate with field ops and customers, ensuring autonomy features address real-world agricultural use cases.
• Document code, algorithms, and specs; contribute to customer-facing technical materials.

Strong Candidates Will Exhibit The Following Key Traits

• Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, with 3+ years of industry experience, ideally in robotics or autonomous systems
• Proficiency in C++, Python, ROS2, and/or other robotics programming frameworks
• Strong background in at least one of: Calibration, Sensor Fusion, Planning, Control, or Collision Detection.
• Proven experience developing safety-critical software and delivering solutions for large-scale deployments.
• Hands-on experience with GPS, camera, LIDAR, and other sensors commonly used in autonomous platforms.
• Ability to work independently and collaboratively in multidisciplinary teams, with strong debugging, testing, and problem-solving skills, and excellent communication abilities

Bonsai Robotics is an Equal Employment 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 or any other category protected by law.

The pay range for this role is:

150,000 - 200,000 USD per year (San Jose)

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A leading live shopping platform in San Francisco seeks a Software Engineer for the Buyer Growth team. You'll drive top-of-funnel growth, partner across functions, and design impactful growth initiatives. Ideal candidates have 5+ years of software engineering experience and a strong foundation in both backend and frontend development. The role offers competitive compensation, a variety of benefits including flexible time off and health insurance options, and the chance to work in a dynamic environment.
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