Senior Machine Learning Engineer
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. There is no application deadline for this role. *Senior Machine Learning Engineer Responsibilities:* * 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.
*Senior Machine Learning Engineer Qualifications:* * 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. If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.