ZipRecruiter

Log In

1

Machine Learning Engineer Two Jobs in Sunnyvale, CA

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$114K - $156K/yr

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 ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

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 ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

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 ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

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 ...

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

San Francisco, CA $135,000.00-$200,000.00 2 months ago San Francisco, CA $170,000.00-$250,000.00 5 days ago San Francisco, CA $130,000.00-$230,000.00 4 months ago Research Engineer - Machine Learning ...

Genentech

Machine Learning Engineer

South San Francisco, CA · On-site +1

$168K - $312K/yr

You hold a Bachelor's Degree in Computer Science or related technical disciplineand 3+ years of experience working in a machine learning engineer role, with a minimum of 2 years in an MLOps-focused ...

New

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

Minimum Qualifications MS in computer science or equivalent field with 2+ years of industry experience Proven record in delivering end-user facing Machine Learning driven products Strong programming ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

next page

Showing results 1-20

All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in Sunnyvale, CA

Machine Learning Engineer Two information

See Sunnyvale, CA salary details

$37K

$151.1K

$227.1K

How much do machine learning engineer two jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer two in Sunnyvale, CA is $151,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $181,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning and AI, and often working in high-demand industries or at large tech companies can earn $300,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in competitive markets.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue playing a vital role as AI advances, focusing on developing and refining algorithms. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also expected to remain in demand. These roles often involve tasks that are difficult for AI to replicate fully.

What engineer makes $500,000 a year?

A senior or lead machine learning engineer with extensive experience, advanced skills in algorithms and data modeling, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or top-tier companies.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers or AI research directors, often in leading tech companies or finance firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.
What are popular job titles related to Machine Learning Engineer Two jobs in Sunnyvale, CA? For Machine Learning Engineer Two jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Two jobs in Sunnyvale, CA look for? The top searched job categories for Machine Learning Engineer Two jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Machine Learning Engineer Two jobs? Cities near Sunnyvale, CA with the most Machine Learning Engineer Two job openings:
Machine Learning Engineer Two jobs near you
Machine Learning Engineer II

Machine Learning Engineer II

Match Group

Palo Alto, CA • On-site

$114K - $156K/yr

Full-time

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.
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.
#Tinder

Apply