San Francisco, California, United States · Hybrid
$160k–$220k/yr
About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they …
Skills: Operations Research, Optimization Modeling, Python, SQL, Machine Learning
San Francisco, California, United States · Hybrid
$167k–$219k/yr
About Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of …
Skills: Backend Engineering, Data Engineering, Elasticsearch, Python, SQL
San Francisco, California, United States · Hybrid
$160k–$220k/yr
About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they …
Skills: Machine Learning, Large Language Models, AI Agents, Causality, Multimodal Learning
San Francisco, California, United States · On-site
$215k–$250k/yr
Blackstone is the world’s largest alternative asset manager. Blackstone seeks to deliver compelling returns for institutional and individual investors by strengthening the companies in which the firm invests. Blackstone’…
Skills: Python, Foundation Models, Agent Frameworks, RAG Architectures, Vector Databases
San Francisco, California, United States · Hybrid
$173k–$286k/yr
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 A…
Skills: Product Management, B2B SaaS, Performance Testing, Load Generation, AI Product Strategy
San Francisco, California, United States · On-site
$240k–$300k/yr
About Flow Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and…
Skills: Security Architecture, Threat Modeling, Cloud Security, Application Security, SOC 2 Compliance
San Francisco, California, United States · Remote Solely
$101k–$165k/yr
The Identity and Access Management (IAM) Identity Engineer will assist in the development, implementation, and maintenance of IAM solutions that adhere to the University's security policies and requirements. Key responsi…
Skills: Identity and Access Management, Identity Governance and Administration, SailPoint, Bravura ID, Active Directory
San Francisco, California, United States · Hybrid
$120k–$215k/yr
The Imaging IT Infrastructure team supports a highly complex and interconnected Imaging environment, critical to the UCSF Medical Center and the UCSF School of Medicine. Within the Imaging IT group, we promote growth and…
Skills: Infrastructure Architecture, People Management, Diagnostic Station Services, PACS, Vendor Neutral Archive
San Francisco, California, United States · On-site
About Simple Simple AI is building state of the art voice AI agents for enterprise. Our realistic agents help iconic businesses like Doordash, xAI, and Omaha Steaks handle all kinds of phone operations, from customer sup…
Skills: Customer Deployment, Problem Solving, Executive Presence, Prompt Engineering, Stakeholder Management
San Francisco, California, United States · On-site
$24/hr–$28/hr
Company Overview Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's ro…
Skills: Robotic Systems Monitoring, Safety Protocol Adherence, Emergency Response, Situational Awareness, Safety Inspections
San Francisco, California, United States · On-site
$200k–$400k/yr
About the Company Pilots don't train with real passengers. Actors don't rehearse with real audiences. Yet, the most consequential decisions in society are often pushed straight to production. Simile is changing that. We …
Skills: System Design, Backend Services, Data Pipelines, Relational Data Modeling, ML Evaluation
San Francisco, California, United States · Remote OK
$240k–$270k/yr
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates bu…
Skills: SaaS Product Management, PaaS Product Management, Product Strategy, Roadmap Development, Cross-functional Collaboration
San Francisco, California, United States · Hybrid
$293k–$385k/yr
About OpenAI OpenAI is dedicated to ensuring that artificial general intelligence (AGI) benefits all of humanity. Our mission requires building not only world-class AI models, but also the infrastructure that enables tho…
Skills: Distributed Systems, C++, Python, Go, Rust
San Francisco, California, United States · On-site
$220k–$405k/yr
Perplexity API Platform Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's mo…
Skills: Developer Relations, API Design, Community Building, Technical Writing, Public Speaking
San Francisco, California, United States · Hybrid
$175k–$250k/yr
About E2B E2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're …
Skills: Go, TypeScript, PostgreSQL, REST, RPC
San Francisco, California, United States · Hybrid
$230k–$260k/yr
About the Team The HR Business Partner (HRBP) team at OpenAI helps shape how our organization operates and performs. We work alongside senior leaders and their teams to design effective organizations, strengthen leadersh…
Skills: HR Business Partnering, Organizational Design, Talent Planning, Leadership Coaching, Employee Relations
San Francisco, California, United States · On-site
$300k–$405k/yr
Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic…
Skills: Engineering Management, AI/ML, Python, TypeScript, Go
San Francisco, California, United States · On-site
About Axiom: Axiom is building an ecosystem to compound technology which will replace animal testing and, over time, reshape how clinical trials are run. We partner with leading organizations to transform capital into pr…
Skills: Cloud Infrastructure, Machine Learning, Backend Systems, Distributed Systems, Model Deployment
San Francisco, California, United States · Hybrid
$120k–$140k/yr
Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or s…
Skills: Business process mapping, Javascript, Python, Php, Json
San Francisco, California, United States · On-site
$250k–$313k/yr
About The Company: TLDR: Series B, $91M raised, 7x growth last year. Digital Transformation gave rise to a $600B consulting Industry. AI Transformation will be 10x bigger and will be delivered through agents. They built …
Skills: Product Design, Frontend Engineering, Figma, Design Systems, AI Tooling
San Francisco, California, United States • Hybrid
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Develop optimization models and decision systems to match clinicians with patients efficiently across large regions. You will turn ambiguous operational problems into well-posed tasks and production-ready algorithms to improve cost, utilization, and patient access.
Requires strong foundations in operations research, optimization, Python, and SQL, with the ability to handle real-world operational uncertainty. A postgraduate degree in a quantitative field or exceptional applied experience is preferred.
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year.
By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.
We’re looking for an Applied Scientist to turn Sprinter’s hardest logistics problems into optimization models and decision systems that get the right clinician to the right patient at the right time. Sprinter runs a two-sided operation — clinicians on one side, patients who need care at home on the other — and we must match supply to demand across large regions under complex constraints.
As an Applied Scientist, you will take ambiguous operational problems and shape them into well-posed tasks, strong baselines, and honest evaluations. The algorithms you build will answer questions like which clinician sees which patient, in what order, given drive time, appointment windows, and clinical constraints; how many clinicians to staff in each region next month; and how long a visit will take or whether a patient is likely to cancel.
This role sits at the intersection of research and engineering, blending scientific rigor with a deployment-oriented mindset. It also requires close cross-functional partnership with operations, product, and engineering stakeholders. The ideal candidate is a scientist-engineer who reasons from first principles about uncertainty and constraints, reaches for the simplest model that works, and can move from a formulation on the whiteboard to a decision that runs in production.
We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days.
We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most.
Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work.
Turn ambiguous operational problems into well-posed optimization, forecasting, or simulation tasks.
Build strong baselines and improve on them efficiently, adding complexity only when the value justifies it.
Develop solutions across operations research, optimization, and machine learning, choosing the right tool for the problem.
Run careful analysis and iterate toward decisions that improve real operational outcomes — cost per visit, clinician utilization, patient access, and visits completed.
Design offline evaluations, simulated backtests, and live experiments that predict real-world operational impact.
Find the gaps between a model’s assumptions and messy operational reality before they reach production.
Choose metrics suited to stochastic, constrained, and partially observed operational systems.
Interpret and communicate results effectively to cross-functional stakeholders.
Partner with Engineering to productionize optimization and decision systems reliably.
Work with operations partners and SMEs to validate assumptions and review where decisions break down.
Explain tradeoffs, uncertainty, and limitations clearly to product and leadership.
Strong foundations in operations research or optimization: modeling, algorithms, experimental design, and honest evaluation.
Strong Python and SQL, the standard optimization and ML libraries, and the ability to run your own experiments end to end.
Fluency with AI coding assistants (e.g., Claude Code, Cursor) in your day-to-day development workflow.
Ability to turn an ambiguous problem into a well-posed optimization or forecasting task, discover and analyze related literature, and adapt/apply those methods to our tasks.
Judgment about how uncertainty, constraints, and edge cases behave in real-world operational data.
Interest in operations collaboration and applied healthcare impact.
MS or PhD in operations research, industrial engineering, computer science, applied math, statistics, machine learning, or a related quantitative field; exceptional applied experience can substitute.
Depth in a relevant area such as vehicle routing, scheduling, stochastic optimization, discrete-event simulation, queueing, or demand forecasting.
Experience shipping optimization or decision systems that reached production and had material real-world impact.
Hands-on experience with supply-and-demand matching in a marketplace, dispatch, or field-operations setting.
Fluency deciding when an exact optimization approach beats a heuristic or learned one, and vice versa.
Recruiter Screen (30 minutes)
Hiring Manager Introduction (30 minutes)
Hands-on-Keys Technical Assessment (1 hour)
Onsite Interview: Systems Design / Technical Case Study + Research Presentation + Behavioral Interview + Lunch with the Team (4 hours)
References
Meaningful pre-IPO equity
Medical, dental, and vision plans 100% paid for you and your dependents
Flexible PTO + 10 paid holidays per year
401(k) with match
16-week parental leave policy for birthing parent, 8 weeks for all other parents
HSA + FSA contributions
Life insurance, plus short and long-term disability coverage
Free daily lunch in-office
Annual learning stipend
Modern house calls that strengthen engagement with primary care
Sprinter Health is a mobile healthcare provider that combines technology and a full-stack medical practice to reimagine care at home. We partner with healthcare organizations to drive engagement with proactive, preventive care by combining convenient in-home visits for hands-on diagnostics with support from virtual clinicians to close care gaps, develop care plans, and reconnect patients back into longitudinal care. Recruiting Notice: Sprinter Health does not conduct recruiting outreach via text messages, chat apps, or unofficial interview invitations. All legitimate communication will come from an @sprinterhealth.com email address or directly through LinkedIn.
Offices: San Francisco, California 94114, US
Based on 2785 listings with disclosed salaries, most engineering jobs in San Francisco, CA pay between $130k–$285k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 3,615 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, Amazon, Astranis Space Technologies, among others. Browse the listings above to see every active employer.
Yes — 1767 of the 3615 open engineering positions offer remote or hybrid work (367 remote, 1400 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.
