Senior Machine Learning EngineerThe OpportunityJoin John Hancock’s AI team and help transform the insurance experience through advanced analytics and intelligent automation. You’ll work at the intersection of business and technology to build scalable AI solutions that enhance customer experience, simplify processes, and drive smarter decisions.
As part of a global community of 260+ data scientists and AI professionals across Manulife, you’ll collaborate with experts worldwide on high-impact initiatives. We are on a transformation journey to remove complexity from financial services and make decisions easier for our customers.
What You’ll Do- Design, build, and operationalize machine learning models—from experimentation to scalable production systems (including classical ML, deep learning, and LLM-based solutions)
- Develop and maintain end-to-end ML pipelines with CI/CD, monitoring, and model performance tracking
- Lead technical design reviews and define architecture standards for scalability, reliability, and security
- Partner with data scientists, engineers, and business stakeholders to deliver AI solutions aligned to business goals
- Apply and champion MLOps best practices across the full model lifecycle
- Mentor junior engineers and contribute to a strong engineering culture
What You Bring- Master’s or PhD in Computer Science, Engineering, or a related quantitative field
- 5+ years of experience delivering machine learning solutions in production
- Strong programming skills in Python (Java/SQL a plus)
- Hands-on experience with NLP and document understanding (e.g., classification, entity extraction, relationship extraction)
- Experience working with unstructured data (PDFs, images) using vision/language models and OCR
- Strong understanding of the AI lifecycle: data preparation, feature engineering, model development, deployment, and monitoring
- Experience with distributed computing (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, or Azure)
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and production-grade engineering practices
Nice to Have- Experience with fraud detection, anomaly detection, or deepfake detection
- Exposure to generative AI, LLM fine-tuning, or agent-based systems
- Experience working in agile environments (e.g., JIRA)
What Drives Success- Customer-first mindset with a focus on impact
- Curiosity and passion for applying emerging AI technologies
- Ownership and accountability in fast-paced environments
- Strong collaboration across cross-functional teams
- Commitment to integrity and inclusion
What We Offer- Competitive compensation and comprehensive benefits
- Career growth and leadership opportunities
- Flexible work environment and strong work-life balance
- A collaborative, inclusive, and innovation-driven culture
Our CommitmentWe are a values-driven organization focused on inclusion, innovation, and creating meaningful impact for our customers, colleagues, and communities.
The role being advertised is an existing vacancy.
Referenced Salary Location
Boston, Massachusetts
Hybrid
Salary range is expected to be between
$107,450.00 USD - $199,550.00 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 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.
