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Machine Learning Engineer Two Jobs in Sunnyvale, CA

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... D in computer science or equivalent field with 2+ years of industry experience. Expertise and ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

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 ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... You have 1-2 years industry machine learning experience * You have successfully trained and ...

Lead Machine Learning Engineer (IC)

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

New

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... You have 1-2 years industry machine learning experience * You have successfully trained and ...

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

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 ...

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 ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Showing results 41-60

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 Aug 7, 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.

Is machine learning engineer two a high paying job?

Machine Learning Engineer Two is generally considered a high-paying role within the tech industry, often offering salaries above the national average for engineering positions. Compensation depends on factors such as experience, location, and skills in tools like Python, TensorFlow, or cloud platforms, but it typically reflects the specialized expertise required for advanced machine learning tasks.
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 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

Skild AI

San Mateo, CA

Full-time

Re-posted 29 days ago


Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.