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Fellow Engineer Jobs in California (NOW HIRING)

Clera

Founding Engineer

San Francisco, CA · On-site

$175K - $225K/yr

Build across the full application - frontend, backend, and everything in between - in close collaboration with the founder, design, and fellow engineers. * Design and build systems for memory ...

Clera

Founding Engineer

San Francisco, CA · On-site

$175K - $225K/yr

Build across the full application -- frontend, backend, and everything in between -- in close collaboration with the founder, design, and fellow engineers. * Design and build systems for memory ...

Fellow

VP of Software

San Francisco, CA · On-site

Fellow makes beautifully functional tools for any kitchen, designed in San Francisco and used ... Who You Are You're an experienced engineering leader who has built and led multidisciplinary teams ...

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All JobsFellow Engineer JobsFellow Engineer Jobs in California

Fellow Engineer information

See California salary details

$12

$55

$79

How much do fellow engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for fellow engineer in California is $55.26, according to ZipRecruiter salary data. Most workers in this role earn between $39.62 and $73.56 per hour, depending on experience, location, and employer.

What is a fellow engineer?

A Fellow Engineer is a highly distinguished and senior-level technical expert within an organization, often recognized for their exceptional contributions to engineering, innovation, and leadership. This title is typically awarded to engineers who have demonstrated significant impact in their field, both through technical achievements and by mentoring others. Fellow Engineers often influence company-wide technology strategy, lead complex projects, and represent their organization in the external technical community. The position is one of the highest honors in engineering career paths and usually requires years of experience and recognition by peers.

How does a fellow engineer typically contribute to mentoring and developing junior team members?

As a Fellow Engineer, you are often expected to play a significant role in mentoring and guiding less-experienced engineers. This includes offering technical advice, conducting code or design reviews, and helping shape best practices within the team. You may also lead technical workshops or knowledge-sharing sessions, fostering a culture of growth and continuous learning. Your expertise and leadership are valuable for both solving complex problems and building the next generation of engineering talent.

What is the difference between Fellow Engineer vs Senior Engineer?

AspectFellow EngineerSenior Engineer
CredentialsTypically requires extensive experience, advanced certifications, and recognized industry expertiseRequires several years of experience, professional certifications often preferred
Work EnvironmentOften involved in strategic projects, industry leadership, and mentoring rolesFocuses on project execution, technical problem-solving, and team leadership
Employer & Industry UsageUsed in large corporations, research institutions, and industry leadersCommon across various industries, especially in engineering and technology firms
Search & Comparison IntentOften searched by experienced professionals seeking top-tier recognition or career advancementFrequently compared for career progression and role responsibilities

The Fellow Engineer is a senior-level role emphasizing industry recognition, strategic influence, and mentorship, often requiring advanced credentials. In contrast, a Senior Engineer focuses on technical expertise, project management, and team leadership. Both roles are vital in engineering organizations but differ mainly in scope, recognition, and responsibilities.

How much does a fellow engineer make?

A fellow engineer's salary varies based on experience, industry, and location, but typically ranges from $80,000 to $150,000 annually. Senior or specialized fellow engineers with advanced skills or certifications can earn higher salaries, especially in high-demand fields like aerospace, software, or research environments.

What are the key skills and qualifications needed to thrive as a fellow engineer?

To thrive as a Fellow Engineer, you need deep technical expertise in your engineering discipline, a strong record of innovation, and typically an advanced degree or equivalent experience. Mastery of advanced design tools, simulation software, and familiarity with industry standards or patents are common requirements. Exceptional leadership, mentorship, and strategic communication skills set top candidates apart. These competencies are essential for driving technical vision, influencing organizational direction, and fostering groundbreaking solutions.

What are popular job titles related to Fellow Engineer jobs in California?

For Fellow Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Fellow Engineer jobs in California look for?

The top searched job categories for Fellow Engineer jobs in California are:

Fellow Engineer jobs near you
Infographic showing various Fellow Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,938 per year, or $55.3 per hour.

Senior Machine Learning Engineer

Ambience Healthcare

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

About Us:
Here at Ambience, we never set out to be just another scribe. We're building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country.
Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work. Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America.
Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners. We value candor, positivity and deep thought - and we expect a lot from each other because we know the problems we're solving truly matter.
Ambience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. We're backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins - and we're just getting started.
The Role:
As a Senior Machine Learning Engineer at Ambience, you will build and improve the AI systems that power our clinical products. You'll own complex projects end-to-end, from diagnosing production failures and designing evaluations to building, deploying, and iterating on model and agentic systems.
This is a highly hands-on role with significant technical ownership. You'll work closely with clinicians, product managers, and fellow engineers to translate cutting-edge research into reliable, production-grade AI systems.
Our engineering roles are hybrid - working onsite at our San Francisco office three days per week.
What You'll Do:
  • Build Trustworthy AI Evaluation Systems: Design and own evaluation pipelines for LLM and agentic systems, combining automated graders, regression testing, production feedback, and human evaluation to measure real product quality.
  • Improve Production Model Behavior: Diagnose high-impact failure modes and test improvements across prompting, retrieval, context, routing, data, fine-tuning, or other model and system interventions.
  • Build Agentic AI Systems: Develop production systems involving tool use, retrieval, context and state management, routing, orchestration, tracing, and failure recovery.
  • Build Data and Improvement Flywheels: Turn production failures and user feedback into better datasets, evaluations, and model behavior through active learning and systematic iteration.
  • Stay at the Cutting Edge: Distill insights from recent research in LLMs, agents, NLP, speech, and multimodal AI and translate promising ideas into practical experiments.
  • Own AI Systems End-to-End: Work across models, data, evaluation, orchestration, serving, and observability, while remaining deeply hands-on in code and production debugging.

Who You Are:
  • Strong Production AI Experience
    5+ years in production ML, research engineering, or applied AI.
    Have built a consequential production AI system or materially improved model behavior in production.
    Strong understanding of modern LLMs, transformers, and production AI systems.
  • Deep Evaluation Experience
    Experienced designing evaluations for LLMs, agents, or other complex AI systems.
    Can turn ambiguous quality problems into measurable dimensions, datasets, and experiments.
    Familiar with challenges such as grader bias, leakage, misleading aggregate metrics, regression detection, and offline-online mismatch.
  • Agentic Systems Experience
    Experience building production systems involving multiple models, tools, retrieval, context, state, routing, or orchestration.
    Understands reliability and failure modes in complex AI workflows, not just individual model calls.
  • Production-Grade Software Engineer
    Proficient in Python and modern ML frameworks; PyTorch preferred.
    Comfortable with deployment, observability, CI/CD, and containerized systems.
    Still highly hands-on: writes code, inspects traces, analyzes failures, and debugs production systems.
  • Data-Centric AI Developer
    Skilled at building high-quality datasets and feedback loops.
    Experienced using production failures, user feedback, and active learning to improve model and system quality.
  • Effective Interdisciplinary Collaborator
    Able to work closely with clinicians, product managers, and fellow engineers.
    Strong communicator who can simplify complex AI concepts for diverse audiences.
    Comfortable owning ambiguous technical problems and driving them to measurable outcomes.
    Nice-to-Haves
  • Experience with realtime voice, conversational AI, or multimodal systems.
  • Experience with fine-tuning, post-training, or model adaptation.
  • Prior work in healthcare, clinical AI, or other regulated, high-stakes industries.
  • Experience interviewing or mentoring ML engineers.
  • Open-source contributions to ML, agent, or evaluation tooling.
Compensation
$225,000 - $300,000, with the addition of significant equity.
Are you outside of the range? We encourage you to still apply; we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate.
Life at Ambience
Working at Ambience means opting into a high-ownership, high-trust environment built for people who want to grow fast, operate decisively and focus on work that matters. This could be the right place for you if you want to
  • Work on mission-critical AI technology that directly improves clinicians' day-to-day lives and health system financial health across some of the most complex, high-stakes workflows in the world.
  • Join a "dream team" culture where we hire exceptional people, expect exceptional outcomes and invest deeply in feedback and continuous growth. We operate as a championship team, and that means being ok with hard, uncomfortable, ambiguous problems that lead to real greatness.
  • Operate with real ownership and accountability in an environment where there are no bystanders: If something is broken, we fix it! You will have meaningful autonomy and be expected to drive work to completion.

To help you do your best work, we pair these expectations with benefits intentionally designed to help you feel supported and safe at Ambience and beyond. Some of our key benefits include
  • Comprehensive medical, dental, and vision coverage for you and your dependents
  • 401(k) with a company match of up to 3% of base salary
  • A remote-friendly culture (with a San Francisco HQ) and full equipment provisioning to ensure you can work effectively from wherever you're based.
  • Parental leave to support your family needs
  • Annual company-wide off-sites, team off-sites and regular team lunches and all-hands gatherings, with travel, lodging and meals covered
  • Flexible time off with no annual cap, company-wide holidays and an annual holiday shutdown from December 24-January 1 designed to support real rest and long-term sustainability.

Ambience Healthcare is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other legally protected status. We encourage applicants from all backgrounds to apply.
Ambience is committed to supporting every candidate's ability to fully participate in our hiring process. If you need any accommodations during your application or interviews, please reach out to our Recruiting team at accommodations@ambiencehealthcare.com. We'll handle your request confidentially and work with you to ensure an accessible and equitable experience for all candidates.
Ambience Healthcare has become aware of scams targeting jobseekers with fake jobs and even interviewing people. Our emails will always come from @ambiencehealthcare.com. We would never our ask candidates to download apps or make any form of payment(s). If you are contacted through WhatsApp, Telegram, similar but fake email domains, or asked to make a payment, these contacts are not legitimate. Report the issue immediately to LinkedIn and the FBI.

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