Job Details

Senior Data/AI/ML Software Engineer

Location: Remote (US Only) or Hybrid (San Francisco Bay Area)

Employment Type: Full-time

Salary Range: $150K - $300K (Varies by level and location)

We are building a cutting-edge Clinical Data Intelligence platform that automates complex, low-level cognitive tasks involving clinical data and knowledge. We are seeking a highly experienced Senior Data/AI/ML Software Engineer to design, implement, and improve the core components of our system, leveraging advanced AI/ML/NLP techniques to dramatically increase efficiency in healthcare.

This role requires expertise across software engineering, AI/ML, and data engineering, with a focus on building data-intensive systems that empower clinicians and improve healthcare operations.

What You'll Do:

• Build and improve core AI/ML systems for extracting and summarizing clinical and health information that directly power applications used by clinicians daily.
• Engineer and analyze data—including scraping, collecting, transforming, querying, mining, and distilling structured/unstructured data—to evaluate system quality, draw insights, and expand/refine our clinical knowledge graph.
• Develop and deploy secure code, maintaining strict confidentiality, integrity, and availability of information systems in compliance with HIPAA and SOC 2.
• Build and improve supporting data/AI/ML systems and automations, ensuring seamless integration and scaling.
• Participate in rotating on-call duties to ensure high system uptime and reliability.
• Work across a modern, robust tech stack including Python, SQL, PostgreSQL, PyTorch, LLM Prompt Engineering, and Google Cloud Platform (GCP).

Requirements

• Experience: 7+ years of full-time (not internships or contract work) experience in AI/ML, Data, or Full Stack Software Engineering with data-intensive systems.
• Technical Breadth: Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering.
• Compliance Familiarity: Experience developing and deploying code in environments with high standards for security, privacy, and compliance (e.g., familiar with HIPAA and SOC 2 requirements).
• Stack Proficiency: Highly proficient in Python and SQL, and experience with cloud environments (e.g., GCP) and data tools (e.g., BigQuery, dbt, Pandas).
• Work Location: Must be authorized to work in the United States and capable of working during core hours in the Pacific timezone.
• Visa: H1B transfers are available, but we cannot offer new H1B sponsorships at this time.

Bonus Points:

• Familiarity with the healthcare and medical domains.
• Experience with LLM prompt engineering and machine reading/knowledge graph technologies.

Benefits

• Highly competitive salary ranging from $150K - $300K based on level and location.
• Generous equity package of 0.1% - 0.5%.
• Flexible Work Policy: Remote-first company culture, with relocation encouraged to the San Francisco Bay Area (Hybrid option available, meeting once a week or more). Exceptional candidates may be considered for fully remote positions.
• Visa Support: H1B transfers available.
• Opportunity to work with advanced Machine Reading and Knowledge Graph technology, solving high-impact problems in the healthcare industry.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing ...@mlabs.city.

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