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Machine Learning Ai Developer Jobs in Milpitas, CA

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on a mission to be the world's most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on the mission to be the world's most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... We're looking for seasoned engineers with machine learning backgrounds to support this mission.

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

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All JobsMachine Learning Ai Developer JobsMachine Learning Ai Developer Jobs in Milpitas, CA

Machine Learning Ai Developer information

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How much do machine learning ai developer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for machine learning ai developer in Milpitas, CA is $62.21, according to ZipRecruiter salary data. Most workers in this role earn between $54.90 and $70.58 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, such as senior AI researcher, lead data scientist, or AI architect, often requiring advanced skills, extensive experience, and expertise in tools like Python, TensorFlow, or PyTorch. Such roles usually involve strategic decision-making, innovation, and leadership in AI projects, and they tend to be found in large tech companies or specialized research organizations. Compensation at this level reflects the complexity and impact of the work, along with responsibilities like managing teams or developing cutting-edge AI solutions.

What engineer makes $500,000 a year?

Senior machine learning AI developers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of impactful projects.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What is the salary of AI ML developer?

The salary of a Machine Learning AI Developer varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in many regions. Senior roles or those with specialized skills in deep learning, natural language processing, or cloud platforms can earn higher salaries, especially with certifications and advanced degrees.

Which 3 jobs will survive AI?

For a Machine Learning AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and AI system architects. These positions involve tasks that are difficult to automate and often require advanced domain knowledge, critical thinking, and collaboration skills. Continuous learning and expertise in tools like Python, TensorFlow, or cloud platforms enhance job security in this field.
What job categories do people searching Machine Learning Ai Developer jobs in Milpitas, CA look for? The top searched job categories for Machine Learning Ai Developer jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Machine Learning Ai Developer jobs? Cities near Milpitas, CA with the most Machine Learning Ai Developer job openings:
Machine Learning Ai Developer jobs near you
Machine Learning Engineer - Reinforcement Learning

Machine Learning Engineer - Reinforcement Learning

Pony.ai

Fremont, CA • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Pony.ai is a global leader in autonomous mobility, recognized for its innovative technologies and commitment to safety in autonomous driving. The Machine Learning Engineer will be responsible for building scalable systems and implementing reinforcement learning methods to enhance driving behaviors and support performance assessment in real-world applications.
Responsibilities:
• Build scalable systems for training and fine-tuning large generative models that produce realistic, informative driving behaviors for evaluation and scenario coverage.
• Implement and iterate on RL-style methods: algorithms, reward / preference objectives, and training setups suited to high-fidelity, insightful behaviors in simulation-aligned workflows (closed-loop evaluation mindset).
• Ship deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies.
• Own production-oriented ML for fleet-scale assessment: training, optimization, monitoring, and iteration of models used to judge performance across large real-world exposure.
• Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and related paradigms—turning preference/judgment signals into repeatable, scalable training and evaluation loops.
• Partner broadly with teams such as Prediction, Planning, Research, and platform/engineering leads to land cross-cutting improvements with clear metrics.
Qualifications:
Required:
• M.S. or Ph.D. in Computer Science, Machine Learning, AI, or a related field—or equivalent practical experience.
• Hands-on experience building and applying ML in production-grade settings, with a strong RL component (policy learning, preference/feedback optimization, or offline/online RL pipelines).
• Depth in deep learning, sequence modeling, and generative models.
• Demonstrated impact via strong publications or a clear history of shipping impactful ML systems end-to-end.
• Experience with large-scale distributed training and large-scale data processing.
• Ability to lead ambiguous technical work from problem framing through reliable delivery.
Preferred:
• Background in autonomous vehicles, robotics, or complex simulation environments.
• Strong grasp of modern RL and post-training techniques in LLM, dLLM, VLA and video generations.
• Hands-on integration of simulation platforms with ML training and evaluation workflows.
• Python fluency and frameworks such as PyTorch.
• Experience defining and operating metrics for complex, safety-critical AI systems.
• Technical leadership: influencing stakeholders, aligning teams, and raising the bar for evaluation rigor.
• Excellent communication—simple explanations of complex trade-offs.
Company:
Pony.ai develops autonomous driving technology for vehicles that operates using artificial intelligence and machine learning. Founded in 2016, the company is headquartered in Fremont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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