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Embedded Machine Learning Internship Jobs in Sunnyvale, CA

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by ... are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and ...

Tinder

Machine Learning Engineer II

Palo Alto, CA · On-site

$145 - $165/hr

Machine Learning Software Engineers who bridge the gap between research and production by ... are embedded in core Tinder user flows at scale. Where You'll Work: This is a hybrid role and ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... 3+ years of embedded software development experience Proficiency in C/C++ Proficiency in ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... 10+ years of embedded software development experience Proficiency in C/C++ Proficiency in ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

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 ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR ... Experience with model optimization for real-time inference on embedded or automotive platforms (e.g ...

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 ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR ... Experience with model optimization for real-time inference on embedded or automotive platforms (e.g ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Sunnyvale, CA

Embedded Machine Learning Internship information

See Sunnyvale, CA salary details

$29.9K

$50K

$103.3K

How much do embedded machine learning internship jobs pay per year?

As of Aug 12, 2026, the average yearly pay for embedded machine learning internship in Sunnyvale, CA is $49,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $54,000.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What are popular job titles related to Embedded Machine Learning Internship jobs in Sunnyvale, CA? For Embedded Machine Learning Internship jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Internship jobs in Sunnyvale, CA look for? The top searched job categories for Embedded Machine Learning Internship jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Embedded Machine Learning Internship jobs? Cities near Sunnyvale, CA with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Sunnyvale, CA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,978 per year, or $24 per hour.

Machine Learning Engineer II

Match Group

Palo Alto, CA • On-site

$165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 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

$ 145000- $165000 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.
#Tinder

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