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Manager Remote Machine Learning Jobs in San Jose, CA

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management * Machine Learning Software Engineers who bridge the gap ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management * Machine Learning Software Engineers who bridge the gap ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

  • Medical

  • Life

  • PTO

Help build a first-class machine learning platform from the ground up, which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ...

EvenUp

Staff Machine Learning Engineer

San Francisco, CA · Remote

$212K - $301K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive data excellence through hands-on analysis of training and evaluation data, managing noise ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

  • Medical

  • Retirement

Our platform manages millions of devices across multiple operating systems, requiring exceptional performance, scalability, availability, and resilience. You will join the AI Platform Team , the ...

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Showing results 21-40

All JobsMachine Learning JobsManager Remote Machine Learning JobsManager Remote Machine Learning Jobs in San Jose, CA

Manager Remote Machine Learning information

See San Jose, CA salary details

$36.3K

$90.7K

$152.4K

How much do manager remote machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for manager remote machine learning in San Jose, CA is $90,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $102,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Remote Machine Learning vs Data Scientist?

AspectManager Remote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote team management, project oversightData analysis, model development, research
Employer & Industry UsageTech companies, AI firms, startupsTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

The main difference is that a Manager Remote Machine Learning oversees ML projects and teams remotely, focusing on leadership and strategy, while a Data Scientist primarily conducts data analysis and model development. Managers handle project management and team coordination, whereas Data Scientists focus on technical implementation and research.

What are the most commonly searched types of Remote Machine Learning jobs in San Jose, CA? The most popular types of Remote Machine Learning jobs in San Jose, CA are:
What are popular job titles related to Manager Remote Machine Learning jobs in San Jose, CA? For Manager Remote Machine Learning jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Manager Remote Machine Learning jobs in San Jose, CA look for? The top searched job categories for Manager Remote Machine Learning jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Manager Remote Machine Learning jobs? Cities near San Jose, CA with the most Manager Remote Machine Learning job openings:
Manager Remote Machine Learning jobs near you
Infographic showing various Manager Remote Machine Learning job openings in San Jose, CA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $90,688 per year, or $43.6 per hour.

Machine Learning Engineer II

Match Group

Palo Alto, CA • On-site, Remote

$114K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. 

We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.


Our Values
  • Take the Lead: We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
  • Move Fast: We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
  • Better Together: We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
  • Real Talk: We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
  • Safety First: We act with integrity, transparency, and consistency so people feel safe-whether they're swiping, matching, or working alongside us.
  • Spark Fun: We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.

The Team:

The Tinder ML team drives impact across nearly every core domain of the product - Recommendations, Trust & Safety, Profile, Chat, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder's ecosystem.

ML at Tinder is organized into three groups with distinct roles:

  • Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation

  • Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management

  • Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale

About the Role:

We are looking for a Machine Learning Engineer II to help build and ship machine learning systems that improve product experience and drive measurable business impact. This role is ideal for an engineer with a strong foundation in machine learning and software engineering who is excited to work on real-world problems, partner cross-functionally, and grow quickly in a high-impact environment.

This is an individual contributor role focused on modeling and algorithmic innovation. You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from development into production. The team's work directly translates into measurable business outcomes, and many of its models are embedded in core Tinder user flows at scale.

Where You'll Work: 

This is a hybrid role and requires in-office collaboration three times per week in Palo Alto, California.

In this role, you will:
  • Translate product and business problems into clear machine learning problems with measurable success criteria
  • Build, train, evaluate, and improve production machine learning models
  • Partner with software engineers and ML infrastructure engineers to deploy models and improve reliability, scalability, and performance in production
  • Design and analyze offline evaluations and online experiments to understand model impact
  • Contribute to feature engineering, data preparation, training pipelines, and model monitoring
  • Write clean, maintainable, production-quality code and participate in design and code reviews
  • Communicate technical findings, trade-offs, and recommendations clearly to both technical and non-technical partners
You'll need:
  • BS or MS in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field
  • 1+ year of industry experience in machine learning, software engineering, data science, or a related field
  • Strong foundation in computer science fundamentals, including data structures, algorithms, and software design
  • Experience building ML or AI-related systems, or strong understanding of how modern machine learning systems are developed and operated
  • Proficiency in Python and at least one additional programming language such as Java, Kotlin, Go, Scala, or a similar language
  • Strong understanding of machine learning fundamentals, including model training, evaluation, and experimentation
  • Strong communication skills and the ability to collaborate effectively across functions
  • Self-motivated, proactive, and comfortable taking ownership of well-scoped problems
Nice to have:
  • Experience with recommendation systems or casual inference
  • Familiarity with big data or stream processing frameworks such as Spark or Flink
  • Familiarity with cloud platforms such as AWS and containerized environments such as Kubernetes
  • Familiarity with ML model serving frameworks such as TensorFlow Serving, TorchServe, Triton Inference Server, or Ray Serve
  • Experience with feature stores, ML data pipelines, and orchestration frameworks such as Airflow
  • Understanding of MLOps practices including CI/CD for ML, model versioning, and automated evaluation
  • Exposure to observability and monitoring for ML systems
  • Exposure to LLM-related use cases or applied generative AI projects
$145,000 - $165,000 a year

The salary range for this position is $145,000 - $165,000.  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.

As a full-time employee, you'll enjoy:
  • Flexible Vacation, 10 Sick Days

  • Time off to volunteer and charitable donations matched up to $15,000 annually 

  • Comprehensive health, vision, and dental coverage

  • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)

  • 100% paid parental leave (including for non-birthing parents) and family forming benefits

  • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development

  • Investment in your wellness: access to mental health support via Modern Health, paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy

  • Free subscription to Tinder Gold


Commitment to Inclusion
 
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei
 
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
 
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