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Junior Full Stack Machine Learning Engineer Jobs in Massachusetts

Harvard University

Machine Learning Engineer

Boston, MA · On-site

$60/hr

... Machine Learning Engineer with advanced expertise to lead development of large language models ... Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy ...

DraftKings

Senior Machine Learning Engineer

Boston, MA · On-site

$113K - $155K/yr

Hands-on experience managing the full machine learning lifecycle, from data preparation and feature engineering to deployment and monitoring. * Expertise in Python, along with experience in ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation ...

Motional

Machine Learning Engineer, Data Mining

Boston, MA · On-site +1

$144K - $192K/yr

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Xometry

Staff Machine Learning Engineer

Waltham, MA

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

Manulife

Senior Machine Learning Engineer

Boston, MA

$107K - $199K/yr

Apply and champion MLOps best practices across the full model lifecycle * Mentor junior engineers ... machine learning solutions in production * Strong programming skills in Python (Java/SQL a plus)

Xometry

Staff Machine Learning Engineer

Waltham, MA · On-site

You will lead the design and delivery of complex ML systems, architect integrations across our tech stack, and set the engineering standard for how we build and deploy machine learning solutions at ...

DraftKings

Senior Machine Learning Engineer

Boston, MA

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

DraftKings, Inc.

Senior Machine Learning Engineer

Boston, MA · On-site

$133K - $175K/yr

The Crown Is Yours As a Senior Machine Learning Engineer, you'll design, implement, and scale ... Mentor junior engineers and contribute to shared tooling, documentation, and process improvements ...

Capital One

Lead Machine Learning Engineer

Cambridge, MA · On-site

$112K - $147K/yr

Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Chewy

Senior Machine Learning Engineer

Boston, MA · On-site +1

$149K - $245K/yr

... Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

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Junior Full Stack Machine Learning Engineer information

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Massachusetts? The most popular types of Full Stack Machine Learning Engineer jobs in Massachusetts are:
What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Massachusetts? For Junior Full Stack Machine Learning Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Massachusetts look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Massachusetts are:
Junior Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Harvard University

Boston, MA • On-site

$60/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Harvard University rating

8.4

Company rating: 8.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

81st of 555 rated colleges and universities

Job description

Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join Harvard Medical School?
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.
You'll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it's an opportunity to shape the future of medicine.
Job Description
The Core for Computational Biomedicine (CCB) in the Department of Biomedical Informatics (DBMI) at Harvard Medical School (HMS) is looking for a Machine Learning Engineer with advanced expertise to lead development of large language models (LLMs) to advance CCB's mission to leverage data and computation to transform research and education, and to improve health outcomes. CCB provides computational and analytic resources to advance scientific discovery within HMS through its multi-disciplinary team of computational and quantitative scientists who work on collaborative projects both within the center and with members of the HMS community. The selected candidate will play a pivotal role in advancing the center's mission to harness the power of computational techniques in the field of medicine. By developing medical LLMs, the engineer will contribute to educating the next generation of medical students and enhancing clinical decision-making processes.
Key Responsibilities:
  • Develop, implement, and optimize medical large language models tailored to the needs of medical education and clinical decision support.
  • Collaborate with interdisciplinary teams comprising biologists, clinicians, and data scientists to understand domain-specific requirements and translate them into computational solutions.
  • Stay updated with the latest advancements in deep learning and machine learning to ensure the models developed are state-of-the-art.
  • Develop infrastructures for data transformation and ingestion.
  • Build AI models that make predictions based on large quantities of data.
  • Explain the usefulness of the AI models created to stakeholders.
  • Transform machine learning models into APIs to interact with other applications.
  • Use expert knowledge to lead research AI and data science projects.

Qualifications
Basic Qualifications:
  • Minimum of seven years' post-secondary education or relevant work experience.

Additional Qualifications and Skills:
  • A Master's or PhD in Computer Science, Computational Biology, or a related field is strongly preferred.
  • Minimum of 3 years of hands-on experience in developing complex deep learning solutions to tackle scientific challenges.
  • Proficiency with the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages.
  • Experience handling and processing large and diverse datasets, especially medical texts, journals, or electronic health records.
  • Ability to collaborate effectively with non-technical stakeholders, such as doctors and medical researchers.
  • Experience with experiment tracking and project management tools, notably frameworks like Weights & Biases.
  • Prior experience in fine-tuning large language models for specific tasks.
  • Demonstrated experience in optimizing deep learning models for better performance and efficiency.
  • Understanding of biology and/or medicine to bridge the gap between pure machine learning and its applications in the medical field.
  • A track record of publications in technical conferences or journals.

Additional Information
  • Standard Hours/Schedule: 35 hours per week
  • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
  • Pre-Employment Screening: Identity, Education, Criminal
  • Other Information: Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
  • Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.

#LI-DK1
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University's Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.
Salary Grade and Ranges
This position is salary grade level 060. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.
Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:
  • Generous paid time off including parental leave
  • Medical, dental, and vision health insurance coverage starting on day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Professional development opportunities including tuition assistance and reimbursement
  • Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.
EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

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