Top 108 Entry level machine learning Jobs in San Jose Ca

AI Resident
RoboForce —Milpitas, CA
- $10,000 a month
- Full-time
- Computer Science
- Master's degree
- Doctor of Philosophy
Quick Apply
On-Site AI Robotics Data Contributor (Flexible Part-Time Role)
Workstream Labs —Menlo Park, CA
- $20 - $22 an hour
- Part-time
- Residential
- US work authorization
- Cleaning
Quick Apply
Machine Learning Engineer
Advantest —San Jose, CA
- Computer Science
- Bachelor of Science
- DevOps
Software Engineer
DataVisor —Mountain View, CA
- $120,000 - $160,000 a year
- Full-time
- Hybrid work
- SQL
- 1 year
- Python
- Health insurance
- 401(k)
Quick Apply
Data Science Analyst
Banyan Data Services —San Jose, CA
- Computer Science
- Mid-level
- SQL
- Paid parental leave
- Work from home
AI Research Engineer
Embedding VC —Mountain View, CA
- Full-time
- Computer Science
- Office
- Master's degree
Quick Apply
Robotics AI / Application Layer Engineer (AMR + Manipulation + Teleoperation)
ATHES —Palo Alto, CA
- $70,403.02 - $84,786.42 a year
- Part-time
- In-person
- Entry level
Quick Apply
9d
GTM Strategy & Operations (AI Desktop & Mobile App)
Baidu USA —Mountain View, CA
- $35 - $40 an hour
- Mid-level
- Office
- 1 year
- Food provided
Quick Apply
Software Engineer
TENEX.AI —San Jose, CA
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
Applied AI Engineer
Tata Consultancy Services —Sunnyvale, CA
- $70,000 - $135,000 a year
- Azure
- Mid-level
- AWS
Forward Deployed Engineer - Entry Level
Ordr —Santa Clara, CA
- Full-time
- Computer Science
- Bachelor of Science
- Analysis skills
ML Model Development Engineer (MMDE-2601)
TETRAMEM INC —San Jose, CA
- $174,304 - $175,000 a year
- Online Application
- Mid-level
- 1 year
Quick Apply
New College Grad - Design Engineer, Circuit Design
Micron —San Jose, CA
- $83,000 - $170,000 a year
- Full-time
- System design
- Analysis skills
- Machine learning
- Employee stock purchase plan
- Paid holidays
Machine Learning Engineer, GAI Search Platform - Moveworks
ServiceNow —Mountain View, CA
- Online Application
- Mid-level
- Residential
- Fair chance
Quick Apply
Machine Learning Engineer
BMW —Mountain View, CA
- $162,031.00 - $224,937.50 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Paid parental leave
- Paid holidays
6d
Junior Applied AI Engineer- HRIS
Fortinet —Sunnyvale, CA
- $105,000 - $140,000 a year
- Full-time
- Azure
- Computer Science
- SQL
- Paid holidays
- Disability insurance
Data Scientist, AI Solutions
DataVisor —Mountain View, CA
- $120,000 - $170,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Analysis skills
- Paid holidays
- Health insurance
Quick Apply
7d
AI Network Solutions Engineer - Early Career
Marvell —Santa Clara, CA
- $94,160 - $141,000 a year
- Full-time
- Computer Science
- Master's degree
- Machine learning
- Employee stock purchase plan
Staff Analytics, Product & Marketing
EarnIn —Mountain View, CA
- $215,000 - $263,000 a year
- Full-time
- Hybrid work
- Office
- SQL
- Mentoring
Quick Apply
4d
Infrastructure Administrator I, Cloud AI
Illumio —Sunnyvale, CA
- $91,000 - $105,000 a year
- Full-time
- Background check
- Azure
- Computer Science

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entry level machine learning jobs near san jose ca

AI Resident

RoboForce
Milpitas, CA

Quick Apply

Job Details

Full-time
$10,000 a month

Benefits

Snacks provided

Qualifications

AI platforms (beyond public GPTs)
Computational framework
Prototype creation
Technical research projects
Machine learning libraries
Model evaluation
Machine learning frameworks
Prototypes
Debugging

Full Job Description

Why RoboForce

RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.

The AI Residency Program

The AI Residency Program is designed for exceptional early-career researchers and engineers who want to tackle some of the hardest problems in robotics and AI. Residents will work alongside a deeply technical team on core challenges in embodied physical intelligence, including Vision-Language-Action (VLA) models, World Models, World Action Models, and 3D foundation models, as well as the full stack of real-world learning—from efficient data collection systems and simulation to reinforcement learning and deployment on physical robots.

This is a hands-on residency for people who want to do ambitious work with real consequences: building learning systems that connect perception, reasoning, and action in service of capable, deployable robots. What makes this program different is the direct connection between research and real-world deployment. Residents work with actual RoboForce robots, iterate quickly between simulation and physical execution, and contribute to systems designed for real use.

The problems are hard, the standards are high, and the goal is to build systems that matter outside the lab.

Research Focus Areas

As an AI Resident, you may contribute across several core areas:

Vision-Language-Action (VLA) models for general-purpose robotic behavior
World Models for predictive modeling, planning, and long-horizon decision-making
World Action Models for jointly modeling action and environment dynamics
Simulation and sim-to-real transfer for scalable training, evaluation, and data generation
Reinforcement learning, imitation learning, and policy optimization for embodied agents
Multimodal learning across vision, language, proprioception, force, and action
Learning systems for manipulation and real-world embodied interaction

What You'll Do

Conduct research and build systems for embodied physical intelligence
Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and RL
Design and run experiments on robotics tasks involving perception, planning, control, and long-horizon behavior
Build training and evaluation pipelines for large-scale embodied learning systems
Work closely with research and engineering teams to move ideas from prototype to real or simulated robot platforms
Explore how multimodal foundation models can improve robot capability in real deployment settings
Contribute to technical reports, internal research discussions, and, where appropriate, publications

Basic Qualifications

Master's, or PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlow
Experience using AI-assisted coding tools and agentic development workflows to prototype, iterate, and build quickly
Ability to implement, debug, and evaluate research ideas in a fast-moving environment
Strong engineering judgment, including the ability to validate, refine, and productionize AI-assisted code

Preferred Qualifications

Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics
Experience training, fine-tuning, or evaluating multimodal or embodied models
Experience with World Models, action-conditioned prediction, model-based learning, planning, or control
Strong hands-on experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, or similar systems
Experience with reinforcement learning, imitation learning, or post-training for robotic policies
Experience working with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines
Demonstrated technical initiative through research, open-source contributions, or high-impact engineering work

Compensation and Resources

Duration:

3–6 months, full-time

Compensation:

$10,000 monthly salary

Benefits:

Company-provided lunch and dinner, a fully stocked kitchen, and team events
Premium fitness center membership covered by the company

Resources:

Access to large-scale GPU clusters and production-grade infrastructure, with dedicated support to enable fast, uninterrupted experimentation on ambitious robotics and AI workloads

Quick Apply

Refine Your Search

entry level machine learning jobs in san jose ca

AI Resident

On-Site AI Robotics Data Contributor (Flexible Part-Time Role)

Machine Learning Engineer

Software Engineer

Data Science Analyst

AI Research Engineer

Robotics AI / Application Layer Engineer (AMR + Manipulation + Teleoperation)

GTM Strategy & Operations (AI Desktop & Mobile App)

Software Engineer

Applied AI Engineer

Forward Deployed Engineer - Entry Level

ML Model Development Engineer (MMDE-2601)

New College Grad - Design Engineer, Circuit Design

Machine Learning Engineer, GAI Search Platform - Moveworks

Machine Learning Engineer

Junior Applied AI Engineer- HRIS

Data Scientist, AI Solutions

AI Network Solutions Engineer - Early Career

Staff Analytics, Product & Marketing

Infrastructure Administrator I, Cloud AI

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