Machine Learning Engineer

Qualifications

• Bachelor’s or Master’s Degree with 1 or more years of experience in a machine learning-related role, or PhD
• At least 1 year of experience with Python
• Some experience with relational databases and SQL
• Familiarity with software engineering best practices and software development lifecycle
• Familiarity with Git and issue tracking tools such as JIRA
• Familiarity with Linux and CLI
• Preferred: Experience in healthcare industry and working with healthcare data
• Preferred: Experience with cloud infrastructure (Azure, AWS, or GCP)
• Preferred: Experience with Docker
• Preferred: Experience with Natural Language Processing
• Preferred: Experience with effectiveness research

Skills

• Collaborate with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members
• Build pipelines for training, evaluating, and deploying models
• Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques
• Advise stakeholders on experimentation best practices and help design and implement A/B/n testing
• Stay current with trends and developments in the AI, machine learning, and healthcare technology communities

Benefits

Subsidized personal healthcare coverage: Medical, Dental & Vision, plus Wellness programs
Paid Time Off: Flexible PTO
Professional development: CEU and tuition reimbursement