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Machine Learning Software Engineer Jobs in Fremont, CA

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Preferred Qualifications MS or ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Minimum Qualifications Software engineering skills and proficiency in Python Experience with ... machine learning, computer science, computer engineering or related fields.

Meta

Software Engineer, Machine Learning

Sunnyvale, CA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers ... across diverse ML domains spanning multimodal machine learning, information retrieval, natural ...

Tapestry

Machine Learning Engineer

Mountain View, CA

You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers ... across diverse ML domains spanning multimodal machine learning, information retrieval, natural ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Fremont, CA

Machine Learning Software Engineer information

See Fremont, CA salary details

$69.5K

$161.5K

$225K

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

As of Aug 23, 2026, the average yearly pay for machine learning software engineer in Fremont, CA is $161,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $189,400.00 per year, depending on experience, location, and employer.

What does a machine learning software engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive as a machine learning software engineer?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Fremont, CA?

The most popular types of Machine Learning Software Engineer jobs in Fremont, CA are:

What are popular job titles related to Machine Learning Software Engineer jobs in Fremont, CA?

For Machine Learning Software Engineer jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Software Engineer jobs in Fremont, CA look for?

The top searched job categories for Machine Learning Software Engineer jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Machine Learning Software Engineer jobs?

Cities near Fremont, CA with the most Machine Learning Software Engineer job openings:

Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $161,489 per year, or $77.6 per hour.

Sr. Computer Vision / Machine Learning Engineer

Corvus Robotics

Mountain View, CA • On-site

$144K - $190K/yr

Full-time

Re-posted 11 days ago

Job description

About the company
Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts.
We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity.
About the role
We are hiring Computer Vision / Machine Learning Software Engineers to build compute-constrained models for deployed robots. You'll tackle diverse technical challenges, working with vast amounts of sensor data to increase environmental awareness and provide customers with deeper inventory insights. We value problem-solving, innovation, and continuous learning, and we encourage exploring new technologies to advance our machine learning capabilities.
What you'll do
  • Develop solutions for advanced computer vision tasks, including:
    • Monocular and stereo depth estimation
    • Learning-based structure-from-motion
    • 3D occupancy networks
    • Scene understanding
    • Object detection
  • Optimize performance, accuracy, and speed of compute-constrained models
  • Collaborate across teams to deploy CV/ML models into production
  • Improve ML pipelines and infrastructure for dataset management, training, and deployment
  • Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques
  • Drive business value by leveraging your work across robotics, software, and deployment teams

This role is in-person hybrid in Mountain View, CA. US work authorization is preferred but not required, can sponsor visas.
Must have
  • 5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorch
  • Expertise in 2D and 3D computer vision techniques
  • Proficiency with Linux, Git, AWS/GCP, and CI/CD workflows
  • Experience in performance engineering for deep neural networks (both training and inference)
  • Knowledge of model optimization techniques for embedded systems, including knowledge distillation, model quantization, and network pruning
  • Adaptive and desire to assume responsibility in a fast-paced startup environment
Nice to have
  • Experience with C/C++
  • Familiarity with ROS (Robot Operating System)
  • Knowledge of model deployment frameworks (e.g., TensorRT, RKNN, OpenVINO, ONNX, CoreML)
  • Experience with TypeScript/JavaScript and Django
  • Experience with data labelers, tooling, and data management

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