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Internship Machine Learning Robotics Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

- Robotics Vision Engineer Title Robotics Vision Engineer Company Description We are a 3-year-old ... Port, implement, and optimize analytics and machine learning algorithms using special purpose ...

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Internship Machine Learning Robotics information

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$25.5K

$42.6K

$88K

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

As of Sep 14, 2026, the average yearly pay for internship machine learning robotics in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning Robotics vs Internship Data Science?

AspectInternship Machine Learning RoboticsInternship Data Science
Required SkillsProgramming (Python, C++), Robotics, Machine LearningStatistics, Programming (Python, R), Data Analysis
Work EnvironmentRobotics labs, manufacturing, research facilitiesData centers, corporate offices, research institutions
Industry UsageRobotics companies, automation, AI hardwareFinance, healthcare, marketing, tech firms

Internship Machine Learning Robotics focuses on developing AI algorithms for robotic systems, combining hardware and software skills. In contrast, Internship Data Science emphasizes analyzing data to extract insights, often in business or research settings. Both internships require programming skills, but their applications and environments differ significantly.

How to become an internship machine learning robotics?

To become an intern in machine learning robotics, candidates typically need a background in computer science, robotics, or related fields, along with programming skills in languages like Python or C++. Gaining experience with machine learning frameworks such as TensorFlow or PyTorch and understanding robotics platforms like ROS can be beneficial. Applying to internships through university programs, online job portals, or company websites and demonstrating relevant coursework, projects, or certifications can improve chances of selection.

What cities are hiring for Internship Machine Learning Robotics jobs?

Cities with the most Internship Machine Learning Robotics job openings:

What are the most commonly searched types of Machine Learning Robotics jobs?

The most popular types of Machine Learning Robotics jobs are:

What states have the most Internship Machine Learning Robotics jobs?

States with the most job openings for Internship Machine Learning Robotics jobs include:

What other helpful pages are available for Internship Machine Learning Robotics?

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Internship Machine Learning Robotics jobs near you
Infographic showing various Internship Machine Learning Robotics job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Senior/Staff Machine Learning Engineer, Motion Planning

Santa Clara, CA • On-site

PlusAI
See more jobs at PlusAIexternal

$130K - $220K/yr

Full-time

Retirement

Re-posted 18 hours ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
We're looking for a machine learning engineer to train and deploy the latest generation of ML-based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet.
Responsibilities
  • Develop state-of-the-art machine learning models for autonomous vehicle planning using rich map, perception, routing, and contextual sensor data.
  • Design and implement model architectures for trajectory generation, behavior planning, and decision making that balance accuracy, robustness, interpretability, and runtime efficiency.
  • Own the end-to-end machine learning lifecycle, including data curation, feature engineering, experimentation, training, evaluation, deployment, monitoring, and continuous improvement.
  • Design rigorous offline evaluation methodologies, validation pipelines, and metrics to measure planning quality, safety, robustness, and generalization.
  • Analyze model behavior, investigate failure cases, and improve performance through systematic error analysis and targeted experimentation.
  • Collaborate closely with runtime, perception, prediction, mapping, and systems teams to deploy scalable machine learning solutions into production.
  • Design validation strategies and rule-based guardrails to ensure generated trajectories are feasible, safe, and compliant with traffic rules.
  • Stay current with advances in machine learning, robotics, and autonomous driving, translating research innovations into production systems.
  • Ensure technical work complies with the company's Quality Management System (QMS), customer requirements, regulatory standards, and internal engineering processes.

Required Skills
  • BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or a related field.
  • 4+ years of experience developing machine learning systems for robotics, autonomous driving, or other real-time decision-making systems.
  • Strong Python programming skills and experience with modern deep learning frameworks such as PyTorch.
  • Strong understanding of deep learning, sequence modeling, transformers, diffusion models, or other modern ML architectures.
  • Experience designing datasets, experiments, validation methodologies, and metric-driven model evaluation.
  • Strong software engineering skills with experience developing and maintaining production-quality software.
  • Excellent debugging and analytical problem-solving skills, with the ability to investigate complex issues across datasets, model behavior, and production systems.
  • Experience analyzing edge cases, tracing failures to their root cause, and improving model robustness through systematic experimentation.
  • Experience designing validation methodologies, automated testing, and monitoring to ensure correctness, safety, and production reliability.
  • Strong ownership mindset with the ability to drive problems from investigation through implementation, validation, and deployment.
  • Excellent communication skills and experience collaborating across cross-functional engineering teams.

Preferred Skills
  • Experience with planning, prediction, motion forecasting, or trajectory generation.
  • Experience deploying machine learning models into production environments.
  • Working knowledge of modern C++ and production software development.
  • Experience with TensorRT, ONNX Runtime, CUDA, or ML inference optimization.
  • Experience with large-scale distributed training or cloud-based ML infrastructure.
  • Publications or open-source contributions in machine learning, robotics, or autonomous driving.

Bonus Qualifications
Candidates who stand out typically have one or more of the following:
  • Deep expertise in autonomous vehicle planning or motion prediction.
  • Experience developing production ML systems for safety-critical applications.
  • Experience leading technical direction for large ML projects.
  • Strong intuition for balancing model quality, robustness, latency, and deployment constraints.
  • Demonstrated ability to solve ambiguous, cross-functional engineering problems involving machine learning, software systems, and autonomous driving.

$130,000 - $220,000 a year
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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