Machine Learning Engineer

Hybrid role in Boston at John Hancock Life Insurance Company (U.S.A.) building production-ready machine learning and data platforms. This position focuses on scalable data pipelines, backend services and microservices, and end-to-end ML workflows used in underwriting and analytics. Eligible employees may also participate in incentive programs tied to business and individual performance.

What you’ll do

• Develop, build, and maintain scalable data pipelines that support underwriting, analytics, and machine learning systems
• Create and deploy backend services and microservices for data ingestion, data retrieval, and ML inference workflows
• Deploy, monitor, and maintain production machine learning pipelines and the supporting backend services
• Perform root-cause analysis for issues across data, models, and pipelines, then implement corrective solutions
• Collaborate with data scientists, underwriters, and engineering teams to turn business requirements into technical solutions
• Support production releases and large-scale batch processing of underwriting workflows

Required qualifications

• Master’s degree (or foreign equivalent) in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field, plus 3 years of Python programming for backend systems, automation, or machine learning workloads
• 3 years using SQL or NoSQL databases, including PostgreSQL or MongoDB, for data modeling, querying, or pipeline integration
• 3 years developing or deploying machine learning models using PyTorch or TensorFlow
• 3 years building or maintaining backend APIs or microservices using FastAPI or Flask
• 2 years deploying ML workflows or backend services using AWS or Azure
• 2 years with containerization and orchestration, including Docker and Kubernetes
• 2 years using GitHub Actions or TeamCity for CI/CD
• 2 years designing distributed or scalable systems, including microservices, load balancing, or distributed processing

Hybrid work arrangement

Work is hybrid from the Boston office: 3 days in the office and 2 days at home.

Compensation

$90,160 to $167,440 per year (salary range). Salary listed for this posting: $162,198 per year.

Benefits

• Eligible employees may participate in incentive programs and earn incentive compensation tied to business and individual performance
• Health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans
• Retirement savings plans, including pension/401(k) savings plans and a global share ownership plan with employer matching contributions
• Financial education and counseling resources
• Paid time off in the U.S.: up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time each year (or more where required by law), plus the full range of statutory leaves of absence

Technologies involved: Python, SQL, NoSQL, PostgreSQL, MongoDB, PyTorch, TensorFlow, FastAPI, Flask, AWS, Azure, Docker, Kubernetes, GitHub Actions, TeamCity.