ZipRecruiter

Log In

1

Machine Learning Engineer Two Jobs in California

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Aquabyte is seeking a Machine Learning Engineer to develop and deploy algorithms for fish farms worldwide. You'll be responsible for software and machine learning model development of our on‑camera ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

With at least 2 years industry experience (post Masters or PhD) in a commercial, non-research ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

YouTube

Machine Learning Engineer

San Francisco, CA · On-site

Overview Direct message the job poster from YouTube This is a full-time role for a Machine Learning Engineer in YouTube for Level L3/L4. You will get a chance to work on recommendation in YouTube.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Krea

Machine Learning Engineer

San Francisco, CA · On-site

Machine Learning Engineer At Krea, we are building next-generation AI creative tools. We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Engineer Two JobsMachine Learning Engineer Two Jobs in California

Machine Learning Engineer Two information

Can you work for two engineering companies at the same time?

As a Machine Learning Engineer, working for two companies simultaneously is possible but depends on employment agreements, non-compete clauses, and company policies. Many employers require exclusivity or limit outside work to prevent conflicts of interest, especially if projects overlap or involve proprietary information. It is important to review employment contracts and disclose side work to ensure compliance.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine AI models and algorithms. Other roles that are expected to persist include healthcare professionals, skilled tradespeople, educators, and creative roles such as writers and designers, because these jobs require human judgment, empathy, or manual skills that are difficult for AI to replicate. Success in these fields often depends on specialized knowledge, critical thinking, and adaptability to new tools and technologies.

Will AI take over machine learning engineer jobs?

Machine Learning Engineers design and develop AI systems, and while AI automation can handle certain tasks, the role requires expertise in model development, data analysis, and problem-solving that AI cannot fully replace. Human oversight, creativity, and understanding of domain-specific challenges remain essential in the field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
What are popular job titles related to Machine Learning Engineer Two jobs in California? For Machine Learning Engineer Two jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Two jobs in California look for? The top searched job categories for Machine Learning Engineer Two jobs in California are:
What cities in California are hiring for Machine Learning Engineer Two jobs? Cities in California with the most Machine Learning Engineer Two job openings:
Machine Learning Engineer Two jobs near you
Machine Learning Engineer

Machine Learning Engineer

DeWinter Group

San Francisco, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Machine Learning Engineer

Job Type: Contract

Contract Length: 6 months

Target Start Date: ASAP

Work Location/Structure: Remote

About the Opportunity

Our client, a leader in Social Media and Content Platforms, is looking for a skilled Machine Learning Engineer to join their team for a six-month engagement. This project involves building ML capabilities for a user-facing product, including accelerating the ML development process from internal tooling and modeling to validation, deployment, and optimization in production, with a focus on automating moderation actions and Subreddit rule enforcement. This is a high-impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables
  • Design and Deployment: Design, build, and deploy LLM and non-LLM based models to solve critical user-facing classifier problems.
  • Model Iteration: Help the internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
  • Tooling: Build model testing/validation and other internal tools that help the team execute faster and accelerate the ML development process.
  • Production Impact: Your work will directly impact the automation of moderation actions and enforcement of community rules.
  • Collaboration: Work with the existing engineering team to contribute to the direction of the project and the team.
Required Skills & Experience
  • 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
  • Deep expertise inPythonand a solid understanding of software development best practices for rapid development. This isn't a learning role—you need to be a subject matter expert.
  • Experience working with classifier problemsand building ML capabilities for user-facing products.
  • Familiarity with image/video processing ML systems.
  • Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
  • Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.
  • Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real‑world problems.
  • Strong communication skills to provide clear and concise status updates to the project team.
Bonus Points
  • Experience in Google Vertex/Gemini LLM and its capabilities.
#J-18808-Ljbffr

Apply