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Machine learning engineer Jobs in Oakland, CA

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Machine learning engineer • oakland ca

Last updated: less than 1 hour ago

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
$220,000.00 yearly
Full-time

Software runs the world and the pace is faster than ever.Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time build... Show more

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TLM, Machine Learning, Integrity

OpenAISan Francisco, CA, United States
Full-time

Engineering Manager (Web Safety).The Applied team safely brings OpenAI's technology to the world.Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting s... Show more

Machine Learning Engineer

KaygenSan Francisco, CA, US
Permanent

KAYGEN is an emerging leader in providing top talent for technology-based staffing services.We specialize in providing high-volume contingent staffing, direct hire staffing and project-based soluti... Show more

Machine Learning Software Engineer Intern - Winter 2027

RipplingSan Francisco, California, United States, 94104
Full-time
Quick Apply

Rippling gives businesses one place to run HR, IT, and Finance.It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and co... Show more

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
$160,000.00 yearly
Full-time
Quick Apply

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi... Show more

Lead Engineer, Machine Learning

SephoraSan Francisco, United States
Full-time

Mission St, 20th Floor, San Francisco, CA 94105, United States (US).At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively.It is connecting deeply with other... Show more

Head of AI and Machine Learning Engineering

GustoSan Francisco, CA, United States
Full-time

Denver, CO;San Francisco, CA;New York, NY.At Gusto, we're on a mission to grow the small business economy.We handle the hard stuff payroll, health insurance, 401(k)s, and HR so owners can focus o... Show more

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Senior Machine Learning Engineer

Disney Entertainment and ESPN Product & TechnologySan Francisco, Californie, États-Unis
Full-time

Disney Entertainment & ESPN Technology.On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories ... Show more

Machine Learning Manager

HiveSan Francisco, CA, United States
$180,000.00 yearly
Full-time

In order to execute our vision, we're constantly growing our machine learning team.We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their... Show more

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Machine Learning Engineering Manager, Recommendations

SunoSan Francisco, CA, United States
Full-time

We're looking for someone to lead recommendations at Suno.You'll be instrumental in building Suno's music discovery and recommendation systems.You'll help define how millions of users discover, cre... Show more

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Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

EluvioBerkeley, CA, US
Temporary +1
Quick Apply

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and ... Show more

Machine Learning Engineer - Expert

MercorSan Francisco, California, United States
$90.00 hourly
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Machine Learning Engineer Expert.Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.Per... Show more

Senior Machine Learning Engineer – GeoAI Platform

Wherobots, IncSan Francisco, California, United States, 94104
$185,000.00 yearly
Full-time
Quick Apply

Wherobots was founded by the original creators of Apache Sedona to build the first fully-managed, highly scalable geospatial cloud database and analytics platform: Wherobots Cloud.Geospatial, locat... Show more

Sr. Machine Learning Engineer (Perception and Tracking)

OusterSan Francisco, CA, US
Full-time
Quick Apply

At Ouster, we build sensors and tools for engineers, roboticists, and researchers, so they can make the world safer and more efficient.We've transformed LIDAR from an analog device with thousands o... Show more

AI/Machine Learning Product Manager

Full ScopeSan Francisco, CA, United States
Full-time

AI/Machine Learning Product Manager (Senior).We are seeking a senior-level AI/ML Product Manager to lead the development and management of our AI-driven products.The ideal candidate will have a dee... Show more

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Machine Learning Engineering Manager, Model Delivery

AutodeskSan Francisco, CA, United States
Full-time

Machine Learning Engineering Manager.The work we do at Autodesk touches nearly every person on the planet.By creating software tools for making buildings, machines, and even the latest movies, we i... Show more

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Deep Learning Engineer

Blackstone Talent GroupSan Francisco, CA, US
Permanent
Quick Apply

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Deep Learning Engineer to join our Client's team.As a Deep Learning Engineer at our client, you will ... Show more

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Engineering Manager, Machine Learning

Engineering Manager, Machine Learning

SentrySan Francisco, CA, United States
Less than 1 hour ago
Salary
$220,000.00 yearly
Job type
  • Full-time
Job description

About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 100,000+ organizations, Sentry is today's application monitoring standard and our team is building its AI-native future.

About the Role

AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix.

We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day.

In This Role You Will

  • Set technical direction across the team's full ML surface area from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems and make sharp calls about which approach fits each problem

  • Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability

  • Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems

  • Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals

  • Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products

  • Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales

You'll Love This Role If You

  • Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code

  • Are excited to shape how AI and developer tools come together, and want to define how engineers and coding agents collaborate to find and fix problems

  • Are driven by impact and want to lead a team working on high-stakes, high-visibility projects

  • Love building things from the ground up the ML team is still in its early chapters, and there's plenty of greenfield to shape

  • Thrive in cross-functional environments and enjoy collaborating across product, design, and engineering to ship great work

  • Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers

Qualifications

  • 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production

  • 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams

  • Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production

  • Strong judgment in ambiguous, fast-moving environments

  • Excellent written and verbal communication; comfortable working across product, research, and engineering

  • A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience) is a plus but not a requirement

Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow.

The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $280,000. A successful candidate's actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate's work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry's employee benefit plans/programs applicable to the candidate's position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company's benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.