Senior Machine Learning Research Engineer
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Senior Software Engineer leads technical strategy, builds AI-optimized systems analyzing medical records, mentors engineers, and ensures HIPAA compliance in a fast-paced healthcare tech environment. Requires 4+ years experience and generalist mindset.
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
The target salary range for this position is $190,000 - $240,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.
Builds and ships AI agents that automate complex audit workflows using LLMs, retrieval pipelines, and orchestration logic. Owns end-to-end development, evaluation, reliability, and mentoring while partnering with product and design teams. Requires 3+ years experience with production LLM features.
Develops agentic AI platforms for triaging, debugging, and resolving production issues using Sentry's error datasets. Requires 5+ years experience, Python/TypeScript proficiency, PyTorch, and expertise in scalable ML deployment.
Senior ML Engineer designs and drives responsible AI projects to mitigate bias in Pinterest's ML applications, including GenAI evaluations and fairness tooling. Requires 4+ years in large-scale ML production, expertise in transformers/LLMs, and Master's/PhD.
Develop advanced ML models using deep learning to personalize Pinterest experiences across Homefeed, Ads, Search, and more. Requires 4+ years in ML, experience with large-scale systems like Spark/Hadoop, and a degree in CS/ML.