San Francisco, California, United States · On-site
$170k–$240k/yr
About Sesame Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer…
Skills: Sql, Python, Etl/Elt Pipelines, Workflow Orchestration, Dataset Versioning
San Francisco, California, United States · On-site
Rime is a foundation modeling company that builds voice AI for enterprises running customer experiences at scale. Our models are purpose-built for high-volume conversational deployments, engineered for the accuracy, perf…
Skills: Technical Program Management, Roadmap Planning, Priority Triage, Codebase Analysis, Cross-functional Coordination
San Francisco, California, United States · On-site
$200k–$250k/yr
📌 About Alpaca Health Alpaca Health enables clinicians to become entrepreneurs, starting in autism care. We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and ful…
Skills: Backend Development, System Design, API Design, Data Modeling, AI Infrastructure
San Francisco, California, United States · Hybrid
$249k–$278k/yr
About Strava Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal best…
Skills: Backend Engineering, System Design, Distributed Systems, Tech Leadership, Ruby
San Francisco, California, United States · Hybrid
$135k–$250k/yr
About Fable AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the p…
Skills: Backend Development, API Integration, Kafka, Spark, Airflow
San Francisco, California, United States · On-site
$232k–$290k/yr
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash …
Skills: Product Management, AI Product Development, Developer Tooling, Enterprise Software, Technical Acumen
San Francisco, California, United States · Hybrid
$234k–$260k/yr
About the team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought pa…
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San Francisco, California, United States · On-site
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About Doss DOSS is building an Operations Cloud for the real world. A modern, AI-native platform for physical product businesses to manage the flow of goods, dollars, and data in real time, across: Procurement Inventory …
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San Francisco, California, United States · On-site
$150k–$250k/yr
About Us Foundry Robotics is building an AI-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national-security-critical hardware. B…
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San Francisco, California, United States · On-site
About Engram Today’s AI is a brilliant stranger: it can solve the world’s hardest math problems, but it knows next to nothing about you and your work. It rereads your files to answer even basic questions, burns an enormo…
Skills: Artificial Intelligence, Machine Learning, Model Training, Inference Optimization
San Francisco, California, United States · Hybrid
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About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical …
Skills: Site Reliability Engineering, Infrastructure as Code, Terraform, Chef, Ansible
San Francisco, California, United States · Hybrid
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🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustwort…
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San Francisco, California, United States · Hybrid
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Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work…
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San Francisco, California, United States · On-site
About Phonic Phonic is a product and research lab focused on powering the most realistic, human-like voice AI conversations. We've re-thought the entire stack in pursuit of this goal, from models to product, to create vo…
Skills: Cloud Infrastructure, Docker, Kubernetes, Terraform, Infrastructure as Code
San Francisco, California, United States · Hybrid
$190k–$300k/yr
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructu…
Skills: React, TypeScript, Frontend Development, Web Performance Optimization, UI/UX Design
San Francisco, California, United States · On-site
$130k–$150k/yr
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Skills: Mechanical Design, CAD, NX, FEA, GD&T
San Francisco, California, United States · On-site
Lab Manager Location: San Francisco (In-person) Who We Are Omen is miniaturizing lab-grade spectroscopy into field-deployable embedded sensors. Our systems deliver PPM-level trace analysis reports on the fluids in indust…
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San Francisco, California, United States · On-site
$140k–$160k/yr
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Skills: Flight Software, Service-Based Architectures, Linux Drivers, Rust, Python
San Francisco, California, United States · On-site
$150k–$190k/yr
About Us: Samara Aerospace is revolutionizing satellite design by addressing the challenges of deploying and managing large satellite constellations. Our innovative Hummingbird spacecraft bus offers a modular and scalabl…
Skills: RF System Design, Link Budget Analysis, PCB Layout, Microwave Engineering, RF Simulation
San Francisco, California, United States · On-site
$140k–$225k/yr
Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a d…
Skills: Wi-Fi Standards, Wireless Software Stack, Android, Windows, Linux
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Design and build production data pipelines to prepare multimodal data for AI model training and evaluation. Develop infrastructure for dataset versioning, lineage tracking, and data quality monitoring to accelerate the ML development lifecycle.
Requires 5+ years of data engineering experience specifically supporting ML/AI teams with strong proficiency in SQL and Python. Must have experience with workflow orchestration and handling unstructured data like audio and text.
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
We're looking for a Data Engineer to build and maintain the data pipelines that feed Sesame's AI models. You'll collaborate directly with machine learning engineers and researchers — your job is to make sure they have the right data, in the right shape, at the right time to train, evaluate, and ship models.
Sesame's data is rich and complex: conversations, voice, sensor signals, and product telemetry. You'll design the systems that take raw, unstructured, multimodal data and turn it into clean, versioned, well-documented datasets that ML teams can trust and build on confidently.
This is a deeply technical, infrastructure-focused role — closer to ML engineering than traditional data analytics. You'll be deeply embedded with ML teams, understanding their workflows and building infrastructure that accelerates the full model development lifecycle — from data collection and labeling through training and evaluation.
Design and build production data pipelines that prepare conversational, voice, and multimodal data for model training and evaluation.
Partner directly with ML engineers to understand data requirements for new models and experiments, and deliver datasets that meet those needs.
Build and maintain infrastructure for dataset versioning, lineage tracking, and reproducibility — so any training run can be traced back to its exact data.
Develop data quality frameworks that catch issues before they become model quality issues: schema validation, drift detection, and coverage monitoring.
Optimise large-scale data processing for cost and performance across Sesame's cloud infrastructure.
Build tooling that makes it easy for ML engineers and researchers to discover, explore, and request data independently.
Define and enforce data governance and privacy standards, particularly around sensitive conversational and voice data.
Contribute to architecture decisions around Sesame's broader data platform as the team and data volume grow.
5+ years in data engineering, with meaningful experience supporting ML or AI teams specifically.
Strong SQL and Python skills — you'll use both daily.
Experience building and operating ETL/ELT pipelines at scale using modern data platforms and tooling.
Experience with workflow orchestration systems such as Airflow, Dagster, or Prefect.
Hands-on experience with ML data workflows: training data pipelines, dataset versioning, data labeling pipelines, or model evaluation data.
A solid understanding of how ML teams work — you don't need to train models; what matters is understanding what makes a good training dataset and why data quality directly affects model performance.
Comfort working with unstructured and semi-structured data — audio, text, JSON logs — not just clean relational tables.
Strong communication skills. You'll be embedded with ML engineers and need to bridge data systems and model requirements effectively.
Vector databases, embedding storage, or feature stores.
Data from hardware or embedded systems: telemetry, sensors, real-time streams.
Distributed compute frameworks for large-scale data processing such as Ray or Spark.
Kubernetes and managed Kubernetes environments such as GKE or EKS.
Data privacy frameworks, especially around voice or conversational data.
Building internal tooling or self-serve data platforms.
Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact [email protected] for assistance.
401 (k) max employer match: 3.5% of compensation
100% employer-paid health, vision, and dental benefits for you and your dependents
Unlimited PTO and sick time
Flexible spending account with employer matching up to $1,650/year (medical FSA)
Guardian Employee Assistance Program (EAP)
Opportunity to share in the company's success with competitive stock options
Benefits do not apply to contingent/contract workers.
Delivery designed by restaurants.
We believe that humans thrive when a community is connected, and that businesses play a critical role in bringing people together. By empowering these businesses to maximize their success, our communities will flourish. We exist to strengthen communities. Sesame is launching in September 2021 in New York City. Sesame is a mission-driven delivery marketplace created by restaurants, for restaurants. With a zero commission and open customer data model, Sesame’s goal is to support and collaborate with restaurant industry leaders by offering sustainable ways to manage their business, regain control of customer relationships and make more money. For the consumer, Sesame’s minimal, fixed service fee, user-friendly platform, loyalty program and ongoing giveback partnership with City Harvest ensures that restaurant lovers can support their favorite spots with ease while creating a more equitable delivery experience for all.
Offices: 56 W 22nd St., Floor 2, New York, NY 10010, US
Based on 2907 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$286k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 3,788 open engineering positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, San Francisco Department of Public Health, Crusoe, Pinterest, among others. Browse the listings above to see every active employer.
Yes — 1846 of the 3788 open engineering positions offer remote or hybrid work (368 remote, 1478 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
