Haemonetics · 2 hours ago
Machine Learning Engineer
Boston, MA
Full-time
Onsite
Mid Level
$101K/yr - $137K/yr
3+ years expHaemonetics is a company that values diverse and dynamic work environments. They are seeking a Machine Learning Engineer to implement practical ML solutions, analyze datasets, and ensure compliance with regulatory standards.
BiotechnologyConsultingHealth CareMedicalMedical Device
Responsibilities
Implement practical ML solutions. This involves training "classic" models (regression, classification) or integrating off-the-shelf models and APIs, rather than researching deep learning architectures from scratch
Analyze mixed datasets (structured SQL data, logs, and unstructured inputs) to determine if they are viable for automation or prediction. You will be the first to "view" this data with an ML lens
Build Python-based services (e.g., wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into our .NET enterprise applications
Review and validate technical deliverables from external AI consultants to ensure they are sound, maintainable, and properly documented
Ensure all ML code and data handling processes comply with strict regulatory standards (e.g., rigorous version control, data privacy/HIPAA, and documentation)
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Minimum of 3-4 years of professional software development experience, with demonstrable experience in Data Science or Machine Learning projects
Proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn) is required
You are comfortable wearing multiple hats. You might be cleaning data on Monday, tweaking a regression model on Tuesday, and writing a Python API wrapper on Wednesday
Ability to work as the sole ML practitioner within a Scrum team of C# developers. You can research problems and unblock yourself without a senior Data Scientist sitting next to you
Familiarity with version control (Git), APIs (REST), and basic software design principles
Preferred
Experience working in a regulated industry (Medical Device, Pharma, Finance, etc.) or knowledge of standards like IEC 62304, ISO 13485, or HIPAA
Familiarity with C# / .NET (you don't need to be an expert, but you need to be able to read the code and work with the team that writes it)
Exposure to cloud environments (AWS preferred) for deploying simple services
Benefits
401(k) with up to a 6% employer match and no vesting period
Employee stock purchase plan
Flexible time off for salaried employees
Accrual of three to five weeks’ vacation annually (based on tenure)
Accrual of up to 64 hours (annually) of paid sick time
Paid and/or floating holidays
Parental leave
Short- and long-term disability insurance
Tuition reimbursement
Health and welfare benefits
Company
Haemonetics
Haemonetics is a global medical technology company that provides Blood Management and Interventional Technologies.
1001-5000 employees
H1B Sponsorship
Haemonetics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (2)
2021 (4)
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2024-05-21Post Ipo Debt· $600M
2021-03-01Post Ipo Equity· $435M
2019-05-23Post Ipo Equity· $10M
Leadership Team
Christopher Simon
President and Chief Executive Officer
Christopher Lindop
CFO and VP Business Development
Recent News
Silicon Republic
2026-01-14
Medical Device Network
2026-01-13
Company data provided by crunchbase