Senior Machine Learning Engineer [82414]

• Design, implement, and enhance ML systems to detect harmful, sensitive, or policy-relevant content across various modalities.
• Manage the entire lifecycle of model development, including data collection, experimentation, evaluation, deployment, and ongoing monitoring.
• Develop multimodal detection techniques utilizing vision, text, audio, and large language models where applicable.
• Create evaluation frameworks with datasets, labeling strategies, and performance monitoring to ensure model reliability.
• Collaborate with cross-disciplinary teams to translate safety requirements into technical solutions and drive experimentation for model improvement.

• Minimum of 5-6 years of experience building, deploying, and maintaining ML systems in production.
• Proficiency with modern ML frameworks such as PyTorch and experience with vision, text, audio, or multimodal models.
• Deep understanding of ML evaluation processes, including dataset design, threshold calibration, and trade-offs between precision and recall.
• Ability to develop ML solutions that optimize quality, reliability, latency, scalability, and user impact.
• Strong commitment to responsible ML practices, including bias mitigation, edge case handling, and assessment of model failure modes.

Perks and Benefits:

• Medical, Dental, and Vision Insurance.
• Life Insurance.
• 401(k) Program.
• Commuter Benefit.
• eLearning and Ongoing Training.
• Education Reimbursement.

Eligibility requires working over 30 hours per week on an assignment lasting at least 10 weeks.

A leading technology company specializing in content safety solutions is seeking a Senior Machine Learning Engineer to support their remote team. This position offers a dynamic environment focused on developing scalable ML systems that ensure safe and appropriate content across diverse formats. Join our client's innovative team to tackle impactful AI challenges. This is a hybrid role in NYC.