Software Engineer III (Machine Learning)

job summary:

Join our Content Safety team and build the machine learning systems that keep our platform safe, welcoming, and age-appropriate for hundreds of millions of users worldwide. We develop and operate large-scale, production ML systems that identify potentially harmful, sensitive, or policy-relevant content across audio, text, images, and video. This is high-impact applied ML work at an immense scale, shaping the future of creator and user safety.

location: Telecommute

job type: Contract

salary: $75 - 80 per hour

work hours: 9am to 5pm

education: No Degree Required

responsibilities:

What You'll Do

• Design, build, and improve production ML systems that help detect harmful, sensitive, or policy-relevant content across multiple modalities.
• Own model development end to end, from training data design and experimentation through evaluation, deployment, and production monitoring.
• Build and improve multimodal detection approaches using modern machine learning techniques, including vision, text, audio, and large language model-based systems where appropriate.
• Develop robust evaluation frameworks, including standardized datasets, labeling guidance, precision and recall analysis, threshold calibration, and monitoring for model performance over time.
• Partner with cross-functional teams, including Trust & Safety, Policy, Legal, Public Affairs, Product, and Engineering, to translate content safety needs into scalable technical solutions.
• Drive experimentation to improve model quality, reliability, fairness, and safety impact in real-world production settings.
• Contribute to the team's technical strategy, including model architecture, signal design, evaluation methodology, and ML infrastructure choices.
• Mentor other engineers and help raise the bar for ML craft, evaluation rigor, and responsible AI practices.

qualifications:

Minimum of 5-6 years of experience building, deploying, and operating machine learning systems in real-world production environments.

Strong proficiency with modern ML frameworks, specifically PyTorch, alongside experience in vision, text, audio, or multimodal models.

Deep understanding of ML evaluation metrics, including labeling methodologies, dataset design, and model performance tracking over time.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.