Remote Machine Learning Engineer

Summary

Deep 6 AI is seeking a Senior Machine Learning Engineer to join their team in Los Angeles. The role involves leading the design, development, and deployment of machine learning models, collaborating with cross-functional teams, and ensuring data integrity, availability, and privacy. The ideal candidate has 5+ years of experience in software engineering, machine learning, and deploying models into production.

Requirements

• 5+ years of experience in software engineering, machine learning, and deploying models into production
• Strong programming skills in Python, Kotlin/Java, or Scala with a deep understanding of object-oriented programming principles
• Extensive experience with distributed computing systems (we use AWS)
• Familiarity with AWS services like Lambda, S3, ECS
• Experience with microservices and event-driven systems
• Familiarity with search engines (ideally Lucene-based, like Elasticsearch)
• Expert in deploying machine learning models, especially BERT models and LLMs, into production environments
• High-level understanding of machine learning models, pipelines, training, and deployment
• Strong communication skills and ability to articulate complex technical concepts
• Eager learner and self-starter, with an inclination towards problem-solving
• Ability to work remotely and collaborate with a distributed team
• Passion for technology and healthcare innovation
• Excellent team player, with a supportive and collaborative attitude
• Commitment to personal and professional growth, with a willingness to be mentored

Responsibilities

• Lead the design, development, and deployment of machine learning models( BERT + LLM ) into real-world production applications
• Implement and maintain ML pipelines, ensuring scalability and efficiency
• Analyze and manipulate raw data formats (FHIR, JSON, CSV) for ML model training and deployment
• Utilize AWS services for various data engineering and machine learning tasks
• Assist in data ingestion(ie. flow from raw data to Elasticsearch documents) and processing of streaming data through ML models
• Collaborate with cross-functional teams to understand and meet data requirements

Preferred Qualifications

• HealthTech or working with healthcare-related data (HL7v2, FHIR) is a significant advantage
• Optimizing Elasticsearch queries to provide better recall and precision with complex queries

Benefits

• Competitive salary
• Unique opportunity to thrive at a growing company
• Generous PTO plan which includes sick and vacation days
• Employer-paid medical, dental, vision, life insurance and long-term disability coverage
• 401k plan is available