Senior Machine Learning Engineer - Hybrid

Senior Machine Learning Engineer

Location: Boston, MA (Hybrid: 3 days in office, 2 days remote)

Company: John Hancock Life Insurance Company (USA)

Shape the Future of AI at John Hancock

Are you passionate about applying cutting-edge AI to solve complex business challenges? Do you thrive at the intersection of Machine Learning, Computer Vision, Natural Language Processing, and Generative AI?

John Hancock is seeking a Senior Machine Learning Engineer to help transform how we process information, detect fraud, automate operations, and deliver intelligent solutions across our business. In this role, you will design and deploy innovative AI-powered applications leveraging Large Language Models (LLMs), Computer Vision (CV), and cloud-native technologies to unlock business value at scale.

This is an opportunity to work on high-impact initiatives, mentor talented engineers and data scientists, and help shape the future of AI within a leading financial services organization.

What You'll Do

As a Senior Machine Learning Engineer, you will:

• Design, develop, and deploy AI-powered solutions focused on document analytics and intelligent document processing.
• Build and implement Large Language Model (LLM) agents to automate business processes, information retrieval, fraud detection, and operational workflows.
• Research and apply advanced AI techniques, including Computer Vision, Natural Language Processing, Generative AI, and Machine Learning.
• Develop image processing algorithms that improve efficiency, accuracy, and customer outcomes.
• Design, build, and maintain scalable data pipelines that support analytics and machine learning workloads.
• Develop highly scalable SQL-based solutions and automated reporting capabilities using modern big data technologies.
• Deploy and optimize AI solutions within cloud environments.
• Write production-quality Python code and manage enterprise-grade code repositories.
• Partner with business and technology stakeholders to identify new opportunities for AI-driven innovation.
• Conduct machine learning experiments and proof-of-concepts to solve challenging business problems.
• Mentor Data Scientists and Junior Engineers on engineering best practices, MLOps, LLMOps, cloud technologies, and modern AI development frameworks.

What You'll Bring

Required Qualifications

Education

• Master's degree in Computer Engineering, Computer Science, Electronic Engineering, or a related field and 2+ years of relevant experience; OR
• Bachelor's degree in Computer Engineering, Computer Science, Electronic Engineering, or a related field and 5+ years of relevant experience.

Experience

• Experience programming with Python.
• Experience designing, developing, and deploying AI solutions utilizing Computer Vision, Natural Language Processing, and Large Language Models.
• Experience building and supporting backend AI applications in cloud environments.
• Experience working in Agile development environments.
• Strong SQL development skills, including designing complex queries and supporting enterprise-scale data needs.

Preferred Qualifications

• Experience with modern LLM frameworks and AI agent architectures.
• Knowledge of Retrieval-Augmented Generation (RAG) and document intelligence solutions.
• Experience with MLOps and LLMOps practices.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Experience deploying scalable AI services to production environments.
• Strong communication and stakeholder management skills.
• Passion for mentoring and developing technical talent.

Why Join John Hancock?

At John Hancock, you'll have the opportunity to:

• Work on meaningful AI initiatives that have a direct impact on customers and business operations.
• Build next-generation solutions using Generative AI, LLMs, Computer Vision, and Machine Learning.
• Collaborate with talented engineers, data scientists, and business leaders.
• Influence the future of AI strategy and innovation within a global financial services organization.
• Grow your career while working in a flexible hybrid environment that supports collaboration and work-life balance.

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

Working Arrangement

Salary range is expected to be between

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.

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