Machine Learning Engineer

We are looking for a Machine Learning Engineer to join the Applied AI Lab and play a hands-on role in building intelligent, scalable, and production-minded ML systems. The ideal candidate will have experience in AI/ML engineering, software engineering fundamentals, and cloud-based tools. The role involves collaborating with cross-functional teams to validate ideas in the real world and contributing to both short-cycle innovation and long-term platform stability.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 5+ years of experience in a similar AI/ML engineer role.
• Strong knowledge of Python, SQL, and additional data processing languages.
• Proficiency in basic machine learning concepts and methods, especially those related to GenAI and NLP.
• Experience using open-source LLMs.
• Proficiency in software engineering fundamentals (unit testing, modular code development, CI/CD, etc.)
• Proficiency in core ML/AI frameworks (e.g. scikit-learn, PyTorch, TensorFlow, HuggingFace)
• Familiarity with cloud-based tools (AWS and Azure), containerization (Docker), and version control (Git)
• Experience with ETL tools (e.g., Apache Spark, Airflow), Pyspark, data modeling/warehousing and CI/CD tools is a plus.
• Experience with vector embeddings, multimodal data, or agentic workflows
• Knowledge of LLM fine-tuning, RAG pipelines, and/or hybrid retrieval techniques
• Exposure to healthcare or life science datasets (EHR, claims, clinical trials, etc.)
• Experience working in startup or lab-like R&D environments
• Strong communication skills and comfort working in cross-functional teams

Benefits

• Be part of a high-impact team shaping the future of our IP and product innovation strategy
• Work with cutting-edge technologies in a focused but flexible lab environment
• Help define how applied AI can solve real-world problems in complex, high-stakes domains
• Grow with a small, mission-aligned team with executive support and long-term vision
• Industry best compensation and benefits