ZipRecruiter

Log In

1

Phd Machine Learning Jobs in Boston, MA (NOW HIRING)

Manulife

Senior Machine Learning Engineer

Boston, MA

$107K - $199K/yr

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 ...

Axon

Senior Machine Learning Scientist

Boston, MA

$99K - $135K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

next page

Showing results 1-20

All JobsPhd Machine Learning JobsPhd Machine Learning Jobs in Boston, MA

Phd Machine Learning information

See Boston, MA salary details

$15

$24

$33

How much do phd machine learning jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for phd machine learning in Boston, MA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $27.69 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Boston, MA are hiring for Phd Machine Learning jobs? Cities near Boston, MA with the most Phd Machine Learning job openings:
Phd Machine Learning jobs near you
Infographic showing various Phd Machine Learning job openings in Boston, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,569 per year, or $24.8 per hour.

Senior Machine Learning Engineer

Manulife

Boston, MA

$107K - $199K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Senior Machine Learning EngineerThe Opportunity

Join 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 Commitment

We 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.

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 hr@manulife.com.

Referenced Salary Location

Boston, Massachusetts

Working Arrangement

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 hr@manulife.com 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.)

Apply