Machine Learning Engineer (Boston, MA located only)

Haemonetics

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: $ 101074 - 136586
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding a work environment that is diverse and dynamic look no further Haemonetics is your employer of choice.

Job Details

Haemonetics provides a suite of innovative medical technology solutions that improve the quality effectiveness and efficiency of care. We challenge ourselves to think big and make new possibilities a reality so that our customers can make it matter for patients every single day. This newly created role will help identify complex medical data to make actionable improvements aligned to our future strategic goals. Preference will be given to Boston MA based candidates. This role will require you to work Hybrid at 125 Summer Street in downtown Boston.

Key Responsibilities:

  • Applied Machine Learning: 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.

  • Data Discovery & Preparation: 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.

  • Integration & Prototyping: Build Python-based services (e.g. wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into enterprise applications.

  • Technical Validation: Review and validate technical deliverables from external AI consultants to ensure they are sound maintainable and properly documented.

  • Regulated Engineering: Ensure all ML code and data handling processes comply with strict regulatory standards (e.g. rigorous version control data privacy/HIPAA and documentation).

Required Knowledge Skills & Capabilities:

  • Education: Bachelors degree in Computer Science Engineering Mathematics or a related field.

  • Experience: Minimum of 3-4 years of professional software development experience with demonstrable experience in Data Science or Machine Learning projects.

  • The Python Stack: proficiency with Python and standard libraries (Pandas NumPy Scikit-learn) is required.

  • Versatility: 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.

  • Independence: 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.

  • General Software Skills: Familiarity with version control (Git) APIs (REST) and basic software design principles.

Desired Assets (Nice to have):

  • 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 dont 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.

General Skills:

  • Pragmatic: You prefer a simple solution that works over a complex one that is theoretically perfect.

  • Curious: You are excited to dig into complex medical data to find patterns.

  • Communicator: You can explain data concepts to stakeholders who do not have a math background.

EEO Policy Statement

Pay Transparency:

The base pay actually offered to the successful candidate will take into account without limitation the candidates location education job-knowledge skills and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics employee compensation. For sales roles employees will be eligible for sales incentive (i.e. commission) under the applicable plan terms. For non-sales roles employees will be eligible for a discretionary annual bonus the target amount of which varies based on the applicable role to be governed by the applicable plan terms. Employees may also be eligible to participate in the Companys long-term incentive plan with eligibility and target amount dependent on the role.

In addition to compensation the Company offers a competitive suite of benefits to its employees including without limitation a 401(k) with up to a 6% employer match and no vesting period an employee stock purchase plan flexible time off for salaried employees and for hourly 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 and/or health and welfare benefits.

Depending on your location you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law you may contact 1- Monday through Friday 7:30 a.m. 5 p.m. ET or email .

The base salary range for this role is:

$101074.94-$136586.75/Annual

Required Experience:

IC

We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding a work environment that is diverse and dynamic look no further Haemonetics is your employer of choice.Job DetailsHaemonetics provides a suite of innovative medical technology solutions...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

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Haemonetics provides a suite of innovative medical technology solutions that improve the quality, effectiveness and efficiency of care. We challenge ourselves to think big and make new possibilities a reality, so that our customers can make it matter for patients, every single day..

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