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Machine Learning Engineer

John Hancock

Boston, MAJob$90–167K/yrPosted 3 days agoVerified open 1 day ago

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At a glance

Compensation
$90–167K/yr
Location
Boston, MA
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

John Hancock seeks a Machine Learning Engineer to develop and maintain scalable data pipelines, backend services, and ML inference workflows. The role involves deploying, monitoring, and troubleshooting production ML pipelines, collaborating with data scientists and underwriters, and supporting large‑scale batch processing of underwriting workflows in a hybrid Boston office setting.

Skills & qualifications

RequiredNice to have

Skills

NoSQLKubernetesTeamcityMicroservicesLoad BalancingData PipelineMachine LearningPythonSQLPostgreSQLMongoDBPyTorchTensorFlowFastAPIFlaskAWSAzureDockerGitHub ActionsCI/CDDistributed ProcessingData PipelinesBackend APIs

Qualifications

Master's Degree in Data Science or Related Field3 Years Python Experience3 Years SQL or NoSQL Experience3 Years Machine Learning Model Development Experience3 Years Backend API or Microservices Development Experience2 Years AWS or Azure Experience2 Years Docker or Kubernetes Experience2 Years GitHub Actions or TeamCity Experience2 Years Distributed Systems Design Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

Employer: John Hancock Life Insurance Company (USA) Job Site: 200 Berkeley Street, Boston, MA 02116 Job Title: Machine Learning Engineer

Job Duties:

  • Develop, build and maintain scalable data pipelines supporting underwriting, analytics, and machine learning systems;
  • Develop and deploy backend services and microservices to support data ingestion, retrieval, and ML inference workflows;
  • Deploy, monitor, and maintain machine learning pipelines and backend services in production environments;
  • Conduct root‑cause analysis of data, model, and pipeline issues and implement corrective solutions;
  • Collaborate with data scientists, underwriters, and engineering teams to translate business requirements into technical solutions; and
  • Support production releases and large‑scale batch processing of underwriting workflows.

Work Arrangement requirement: Hybrid from Boston office (3 days from office, 2 days from home)

Minimum Requirements:

Master’s degree or foreign equivalent in Data Science, Information Studies, Information Science, Computer Science, Machine Learning, or a closely related field and 3 years of Python programming experience for backend systems, automation, or machine learning workloads. Experience must include the following, which may be gained concurrently:

  • 3 years of experience using SQL or NoSQL databases including PostgreSQL or MongoDB for data modeling, querying, or pipeline integration.
  • 3 years of experience developing or deploying machine learning models using PyTorch or TensorFlow.
  • 3 years of experience building or maintaining backend APIs or microservices using FastAPI or Flask.
  • 2 years of experience deploying ML workflows or backend services using AWS or Azure.
  • 2 years of experience using containerization and orchestration tools including Docker and Kubernetes.
  • 2 years of experience using GitHub Actions or TeamCity for Continuous Integration/ Continuous Deployment (CI/CD).
  • 2 years of experience designing distributed or scalable systems including microservices, load balancing or distributed processing.

Salary: $162,198 per year

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact [email protected].

Referenced Salary Location Boston, Massachusetts Working Arrangement

Hybrid Salary range is expected to be between $90,160.00 USD - $167,440.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact [email protected] for the salary range for your location.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including 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. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify

Company: John Hancock Life Insurance Company (U.S.A.)

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