Jobs Companies Manulife Machine Learning Engineer

Über diese Machine Learning Engineer Stelle bei Manulife

Manulife · Vor Ort · Boston, Massachusetts

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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Wie sich dieses Gehalt für ML Engineer vergleicht

Diese Stelle zahlt $162,198/yrunter der üblichen Spanne für ML Engineer Stellen.

$164,750 dem Median $237,500 $297,000

Übliche Spanne $175,000–$285,000/yr, aus 13 vergleichbaren ML Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für ML Engineer ansehen →

Über Manulife

We're Manulife. And we’re on a mission to make decisions easier and lives better. Better is what drives us. It’s what inspires us to find new ways to support customers and colleagues in living longer and healthier lives. It’s the reason we’re dedicated to investing in digital innovation and accelerating a sustainable and economically inclusive future. Joining us means you’ll be empowered to learn and grow your career. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. And as part of our global team, you’ll help shape the future you want to see – and discover that better can take you anywhere you want to go. We’re proud of our ac

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