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No Experience Machine Learning Jobs in San Ramon, CA

Human Archive

Machine Learning Engineer

San Francisco, CA · On-site

$100K - $150K/yr

The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training ... Experience with video understanding, tracking, pose estimation, robotics, or real-world sensor ...

Umba

Machine Learning Lead

San Francisco, CA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Experience with machine learning frameworks such as Scikit ...

Handshake

Machine Learning Engineer I

San Francisco, CA · On-site

$151K - $189K/yr

Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization -- with guidance from senior engineers.

Reducto

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking a Machine Learning Engineer to train and deploy critical models for their core ... Required : • You have 2+ years of experience with training, fine tuning, and evaluating ML models ...

MyOme

Machine Learning Scientist

San Francisco, CA

Description MyOme is looking for a world-class machine learning scientist to join us on our mission ... Skills and Experience * A PhD is strongly encouraged, but If you have exceptional applied ...

Relace

Machine Learning Engineer

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This ... Experience with CUDA, GPU kernel optimization, and performance tuning. * Fluency in Python and at ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

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 ...

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How much do no experience machine learning jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for no experience machine learning in San Ramon, CA is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $28.46 per hour, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

High-paying jobs that can reach $4,000 a week without a degree often include roles such as skilled trades (electrician, plumber), sales positions (real estate agent, insurance broker), or certain tech roles like freelance web developer or digital marketer. Success in these fields typically depends on experience, skills, certifications, or performance rather than formal education.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

How to make $10,000 a month with no degree?

To earn $10,000 a month with no degree, focus on developing in-demand skills such as machine learning, coding, or digital marketing through online courses and self-study. Freelancing, starting a business, or working in high-paying sales or tech roles can also help achieve this income level without formal education.

How to get into machine learning with no experience?

To enter machine learning with no experience, start by learning programming languages like Python and understanding basic statistics. Gain foundational knowledge through online courses, tutorials, and practicing with datasets using tools like scikit-learn or TensorFlow. Building projects and earning certifications can also help demonstrate your skills to employers.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, which often require extensive experience, advanced skills in programming, data analysis, and deep learning, as well as leadership responsibilities. These positions are usually found in large tech companies or specialized AI firms and may include bonuses, stock options, or other compensation components that contribute to the total salary package.
What are the most commonly searched types of Machine Learning jobs in San Ramon, CA? The most popular types of Machine Learning jobs in San Ramon, CA are:
What job categories do people searching No Experience Machine Learning jobs in San Ramon, CA look for? The top searched job categories for No Experience Machine Learning jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for No Experience Machine Learning jobs? Cities near San Ramon, CA with the most No Experience Machine Learning job openings:
No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in San Ramon, CA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $53,046 per year, or $25.5 per hour.
Machine Learning Engineer - Reinforcement Learning

Machine Learning Engineer - Reinforcement Learning

Pony.ai

Fremont, CA • On-site

Full-time

Posted 21 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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