Machine Learning Scientist

Intratek Computer, Inc.; Irvine (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical

Paid Vacation

Paid Holidays

Stock Options

Job summary

Intratek Computer, Inc. is looking for a Machine Learning Scientist for a direct hire position in Irvine, CA. The job involves designing, developing, and testing deep learning algorithms focused on steganography and digital watermarking.

The ideal candidate will have expert experience in PyTorch, deep neural networks, and will collaborate closely with engineering teams to deploy models. Benefits include medical coverage, paid vacation, and stock options.

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.

Responsibilities

• Research, design, and implement deep learning steganography algorithms.
• Collaborate with engineering to integrate ML models into platforms.
• Benchmark and evaluate models against legacy approaches.
• Prepare documentation and presentations for internal teams.

Skills

Deep learning

PyTorch

Communication skills

Collaboration

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.