Senior Machine Learning Engineer [82414]

We're partnering with our client, a dynamic organization in the technology sector, to find a talented Senior Machine Learning Engineer. This remote-In Region, temporary role offers an opportunity to contribute to impactful content safety systems that support millions of users worldwide., * Develop and optimize production machine learning systems that identify sensitive or policy-relevant content across diverse media formats.

• Lead the entire lifecycle of model development, including data preparation, experimentation, evaluation, deployment, and monitoring.
• Enhance multimodal detection methods utilizing state-of-the-art ML techniques in vision, text, audio, and large language models.
• Create robust evaluation frameworks to ensure consistent model performance, including dataset curation, labeling standards, and performance analysis.
• Collaborate with cross-functional teams to translate safety needs into scalable technical solutions and improve system reliability and fairness.

• Minimum of 5-6 years of experience building, deploying, and managing ML systems in production environments.
• Proficiency with ML frameworks such as PyTorch and experience working with vision, text, audio, or multimodal models.
• Strong knowledge of ML evaluation practices, including dataset design, labeling strategies, and accuracy metrics.
• Ability to design scalable ML architectures balancing quality, reliability, latency, and impact.
• Commitment to responsible AI principles, with awareness of bias, failure modes, and user impact considerations.

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.