Top 204 Ml engineer Jobs in Los Angeles, Ca

Simulation Engineer - AI Trainer
DataAnnotation —El Segundo, CA
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
AI Engineer I
Welbehealth Non Sponsored Board —Los Angeles, CA
- $90,281.44 - $119,171.49 a year
- Remote
- Azure
- Computer Science
- HIPAA
- Health insurance
- Dental insurance
12d
Software Engineer, Ads ML Infrastructure - USDS
TikTok USDS JV —Los Angeles, CA
- $129,960 - $341,734 a year
- Hybrid work
- Computer Science
- Mid-level
- 3 years
- Paid parental leave
- Paid holidays
Machine Learning Engineer II
Tinder —Los Angeles, CA
- $145,000 - $165,000 a year
- Full-time
- Hybrid work
- Computer Science
- Bachelor of Science
- Mid-level
- Commuter assistance
- Paid parental leave
Applied AI Engineer
Axle Mobility —Los Angeles, CA
- Full-time
- Remote
- Mid-level
- 2 years
- Python
- Health insurance
- Dental insurance
Machine Learning Engineer
MOEV Inc. —Los Angeles, CA
- $90,000 - $120,000 a year
- Full-time
- Computer Science
- Office
- SQL
- Health insurance
- Dental insurance
Quick Apply
Software Engineer (ML/Game Development)
GungHo Online Entertainment America, Inc. —Redondo Beach, CA
- $75,000 - $119,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- AD&D insurance
- Disability insurance
Quick Apply
14d
Sr. Fullstack Product Engineer - (Frontend Focus)
Salt Ai —Los Angeles, CA
- $140,000 - $180,000 a year
- Full-time
- Remote
- Senior level
- Leadership
- Under 1 year
- Health insurance
- Dental insurance
Quick Apply
Senior ML Ops Engineer (Machine Learning Infrastructure)
Parallel Systems —Los Angeles, CA
- $150,000 - $250,000 a year
- Hybrid work
- Azure
- Computer Science
- 5 years
Quick Apply
2d
Machine Learning Engineer
Hang —Los Angeles, CA
- Full-time
- Remote
- Computer Science
- 5 years
- Research
- Health insurance
- Dental insurance
AI Solutions Engineer
Divergent —Los Angeles, CA
- $122,430 - $168,340 a year
- Computer Science
- Bachelor of Science
- Mid-level
- Paid parental leave
- Paid holidays
Quick Apply
Staff AI Engineer - Foundation (Remote)
Rula —Los Angeles, CA
- $206,550 - $243,000 a year
- Full-time
- Remote
- 5 years
- HIPAA
- Java
- Paid parental leave
- Health savings account
Backend Engineer
Gallatin —El Segundo, CA
- $80,000 - $210,000 a year
- Full-time
- Azure
- System design
- Mid-level
- Health insurance
- 401(k)
ML Engineer, Surrogate Modeling (Vehicle Engineering)
SpaceX —Hawthorne, CA
- $125,000 - $175,000 a year
- Extended hours
- Computer science
- Computer Science
- Research
- Paid parental leave
- Employee stock purchase plan
Machine Learning Engineer, Generative ML , Level 5
Snapchat —Los Angeles, CA
- $178,000 - $313,000 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Office
- Paid parental leave
- Health insurance
AI Engineer
Capsule —Los Angeles, CA
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Machine Learning Engineer
Adidev Technologies Inc —Santa Monica, CA
- Azure
- Computer Science
- SQL
- Relocation assistance
Quick Apply
Full Stack Software Engineer
Sans —Culver City, CA
- $130,000 - $160,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Quick Apply
Full-Stack Software Engineer
Plug Technologies Inc —Los Angeles, CA
- $145,000 - $175,000 a year
- Full-time
- System design
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
12d
Data Engineer
Varda Space Industries —El Segundo, CA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- ERP systems
- Research
- Health savings account
- Paid holidays
1d

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ml engineer jobs near los angeles, ca

Simulation Engineer - AI Trainer

DataAnnotation -
El Segundo, CA

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Job Details

Part-time | Full-time | Contract
$50 - $100 an hour

Benefits

Flexible schedule

Qualifications

Software coding
English

Full Job Description

DataAnnotation is committed to creating quality AI. Help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.

We are looking for an existing Simulation Engineer - AI Trainer to help train AI models. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice. That's where you come in.

You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. You can fit this work alongside a full-time role, or treat it as your primary focus, choosing projects and schedules that align with your availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Advantages of contracting with us:

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour, with bonus rates available on some projects.
Impact: help shape the future of AI systems built to reason about data and analytics.

Responsibilities:

Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
Write clear technical explanations and well-documented analytical code.
Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.

Qualifications:

3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree in a quantitative field preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); an advanced degree (Master’s or PhD) is a plus.
Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).

Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Quick Apply

Refine Your Search

ml engineer jobs in los angeles, ca

Simulation Engineer - AI Trainer

AI Engineer I

Software Engineer, Ads ML Infrastructure - USDS

Machine Learning Engineer II

Applied AI Engineer

Machine Learning Engineer

Software Engineer (ML/Game Development)

Sr. Fullstack Product Engineer - (Frontend Focus)

Senior ML Ops Engineer (Machine Learning Infrastructure)

Machine Learning Engineer

AI Solutions Engineer

Staff AI Engineer - Foundation (Remote)

Backend Engineer

ML Engineer, Surrogate Modeling (Vehicle Engineering)

Machine Learning Engineer, Generative ML , Level 5

AI Engineer

Machine Learning Engineer

Full Stack Software Engineer

Full-Stack Software Engineer

Data Engineer

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