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Lead Machine Learning Scientist Jobs in California

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Machine Learning Scientist

San Francisco, CA · On-site

The Role We're looking for a Machine Learning Scientist to push the limits of small, high-performance language models. This is a deeply technical role focused on advancing the capabilities of our ...

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Lead Machine Learning Scientist information

What does a lead machine learning scientist do?

A Lead Machine Learning Scientist oversees the design, development, and deployment of machine learning models within an organization. They guide teams in identifying suitable algorithms, optimizing model performance, and ensuring solutions align with business goals. This role often involves collaborating with data engineers, analysts, and stakeholders to translate complex data problems into actionable insights. Additionally, Lead Machine Learning Scientists mentor junior staff and stay updated with the latest advancements in artificial intelligence and machine learning technologies.

What are the key skills and qualifications needed to thrive as a lead machine learning scientist?

To thrive as a Lead Machine Learning Scientist, you need deep expertise in machine learning algorithms, statistical analysis, data modeling, and typically a Ph.D. or Master’s degree in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and experience with cloud computing platforms are commonly required. Strong leadership, communication, and problem-solving abilities help in guiding teams and translating complex technical insights to stakeholders. These skills are vital for driving impactful AI solutions, fostering innovation, and ensuring successful project delivery.

How does a lead machine learning scientist typically collaborate with data engineers and product teams?

As a Lead Machine Learning Scientist, you will frequently work closely with data engineers to ensure data pipelines are robust, scalable, and optimized for model training and deployment. Collaboration with product teams is also essential to align ML solutions with business objectives, define project requirements, and interpret model outputs in a way that drives product improvements. Effective communication and cross-functional teamwork are crucial in this role, as you'll often need to translate complex technical concepts for non-technical stakeholders and guide interdisciplinary teams toward successful project outcomes.

What cities in California are hiring for Lead Machine Learning Scientist jobs?

Cities in California with the most Lead Machine Learning Scientist job openings:

Infographic showing various Lead Machine Learning Scientist job openings in California as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Machine Learning Scientist

Irvine, CA • On-site

Intratek Computer, Inc.
IT Services • 201 - 500 employees
Learn more about Intratek Computer, Inc.external

Other

Medical, PTO

Posted 23 days ago

Job description

Machine Learning Scientist (Direct Hire – Onsite in Irvine, CA)

Location: Irvine, CA (Onsite / Hybrid, Monday–Friday, First Shift) or Out of area candidates that fit the qualifications may be considered, for relocation or remote employment with periodic travel to Irvine, CA office.
Employment Type: Direct Hire
Compensation: DOE (Depending on Experience)
Start Date: ASAP
Benefits: Medical, Paid Vacation, Paid Holidays, Stock Options

We are currently recruiting for a Machine Learning Scientist for a direct-hire role with one of our clients, a technology company based in Irvine, CA. This is not a contract role.

Position Overview

The Machine Learning Scientist will join a specialized ML team to design, develop, and test advanced deep learning algorithms focused on steganography and media watermarking across digital media formats (images, video, audio, etc.). You will also work closely with engineering teams to deploy these models into production environments, including mobile and cloud platforms.

Key Responsibilities
  • Research, design, and implement state-of-the-art deep learning–based steganography algorithms.
  • Collaborate with engineering teams to integrate and deploy ML models to customer-facing platforms.
  • Benchmark and evaluate new models against legacy approaches to ensure quality and accuracy.
  • Prepare clear technical documentation, reports, and presentations to communicate findings to internal teams.
Required Qualifications
  • Expert-level experience with PyTorch and training/testing deep neural networks.
  • Experience in dataset collection and curation for deep learning.
  • Strong communication, collaboration, and organizational skills.
Preferred Qualifications
  • Knowledge of steganography and digital watermarking techniques.
  • Familiarity with image, video, and audio compression algorithms.
  • Publication history in major ML/CV conferences (CVPR, ICCV, NeurIPS, etc.).
  • Experience deploying ML models to mobile, desktop, or cloud-based customer platforms.
Key Concepts (for clarity) Watermarking

Embedding identifiable information into digital media (visible or invisible) to prove ownership, track use, or secure content.

Steganography

Hiding information within media in a way that is undetectable to the human eye or ear. Often used for secure communication or embedding machine-readable signatures.

Media Provenance

Verifying the origin and authenticity of digital content to ensure it hasn’t been altered—important for combating deepfakes and unauthorized edits.

Equal Opportunity Employer

Intratek Computer, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, ancestry, national origin, sex, sexual orientation, age, disability, marital status, domestic partner status, or medical condition.

Veterans Preference

We proudly provide preference to returning war veterans in recognition of their service and skills.

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