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Machine Learning Engineer Opt Jobs in Auburn, MA

Mapfre

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

MAPFRE USA is looking for a self-motivated team player to join their Data Engineering team as a ... Preferred : • Artificial intelligence, machine learning, and deep learning are a plus. Company

Worcester Polytech

Temporary Researcher

Worcester, MA · On-site

$25/hr

Provide a strong mobile and wound server programming background required to produce a robust wound ... machine learning models that combine visual images and thermal images to detect infection more ...

Belcan Corporation

Mechanical Engineer IV

Westborough, MA · On-site

$78.52 - $106.07/hr

Mechanical Engineer IVLocation: Westborough, MAZip Code: 01581Start Date: Right AwayPay Rate: $66 ... intelligence and machine learning, manipulation, simulation, robotic management software ...

New

FLEXcon Company

Machine Operator IV

Spencer, MA

$17.55 - $24.38/hr

Learning lean concepts, actively participate in process improvements * Other duties consistent with ... opt out of upon receipt. Message and data rates may apply. Message frequency varies. Equal ...

IPG Photonics

Senior Software Engineer

Marlborough, MA · On-site

$127K - $167K/yr

Experience with machine learning Experience with Embedded systems and real-time systems * GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi-functional medical ...

IPG Photonics

Senior Software Engineer

Marlborough, MA · On-site

$127K - $167K/yr

Experience with machine learning Experience with Embedded systems and real-time systems * GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi-functional medical ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Auburn, MA

Machine Learning Engineer Opt information

See Auburn, MA salary details

$31.5K

$128.7K

$193.4K

How much do machine learning engineer opt jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer opt in Auburn, MA is $128,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What job categories do people searching Machine Learning Engineer Opt jobs in Auburn, MA look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Auburn, MA are:

What cities near Auburn, MA are hiring for Machine Learning Engineer Opt jobs?

Cities near Auburn, MA with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Lead R&D Engineer, AI Applications

Hologic

Marlborough, MA • On-site

Full-time

Posted 8 days ago

Hologic rating

8.0

Company rating: 8.0 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

180th of 496 rated machine equipment manufacturers

Job description


Job Summary
The Lead Engineer, AI Applications leads the identification, evaluation, and integration of artificial intelligence and computer vision capabilities across Hologic's GYN Surgical capital platforms, including ultrasound-guided fibroid ablation, hysteroscopy consoles, and associated imaging and visualization systems. This role serves as the primary technical and strategic interface between internal R&D teams, external AI and imaging technology partners, and cross-functional stakeholders in Clinical, Regulatory, Quality, Marketing, and Business Development. The position is responsible for shaping the division's AI application roadmap, managing external vendor engagements from evaluation through productization, and ensuring AI-enabled features are developed in compliance with applicable regulatory and design control requirements.
Essential Duties and Responsibilities
  • Identify, assess, and prioritize opportunities to apply AI and computer vision within GYN surgical procedures and capital equipment, in collaboration with software, systems, and clinical engineering teams
  • Translate clinical and workflow needs into well-defined technical problem statements with measurable success criteria
  • Lead technical evaluation of external AI, imaging, and data partners, including definition of evaluation criteria, comparative assessment, and formal recommendations to leadership
  • Manage ongoing vendor relationships, including proof-of-concept scoping, milestone tracking, deliverable review, and issue escalation
  • Partner with Business Development, Legal, and Procurement on statements of work, intellectual property terms, and data ownership and portability provisions
  • Facilitate cross-functional alignment on AI initiatives across R&D, Clinical, Regulatory Affairs, Quality, and Marketing
  • Prepare and deliver technical and strategic recommendations to divisional leadership and the Steering Committee
  • Collaborate with Regulatory Affairs to define submission strategy for AI-enabled features, including predicate identification, predetermined change control plans, and alignment with FDA guidance on AI/ML-enabled medical devices
  • Define requirements for training, validation, and test datasets, including data sourcing, annotation processes, and dataset governance
  • Ensure AI and ML components are integrated into existing design control, risk management (ISO 14971), software lifecycle (IEC 62304), and cybersecurity processes
  • Provide technical guidance and mentorship to engineering staff on AI and computer vision methods, evaluation practices, and industry developments
  • Monitor the external landscape of AI technologies, standards, and competitive products relevant to the division's product portfolio
  • Perform other duties as assigned

Qualifications
Education
  • Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related technical field required
  • Master's degree or PhD preferred

Experience
  • Minimum 8 years of engineering experience in medical devices, medical imaging, or a comparable FDA-regulated industry
  • Minimum 3 years of direct experience developing, evaluating, or integrating AI or computer vision technologies
  • Demonstrated experience managing external technology vendors or development partners through evaluation, contracting, and delivery
  • Experience working within a design controls environment and with FDA regulatory pathways (510(k), De Novo)
  • Experience presenting technical recommendations to senior leadership

Preferred
  • Experience with ultrasound, endoscopy, or other intra-procedural imaging modalities
  • Direct involvement in a regulatory submission for an AI- or ML-enabled device feature
  • Experience with clinical data collection, annotation workflows, and dataset management
  • Familiarity with real-time or embedded imaging system architectures
  • Working knowledge of IEC 62304, ISO 14971, IEC 60601, and FDA Good Machine Learning Practice principles

Skills and Competencies
  • Sufficient technical depth in machine learning and computer vision to critically assess vendor claims, model performance data, and validation reports
  • Strong cross-functional leadership and facilitation skills, with the ability to drive decisions across engineering, clinical, and business functions
  • Clear written and verbal communication, with the ability to adapt content for executive, clinical, and engineering audiences
  • Strategic thinking with the ability to balance technical feasibility, clinical value, regulatory burden, and business priorities
  • Negotiation skills and sound judgment in commercial and intellectual property discussions
  • Ability to operate independently in ambiguous environments and establish structure where needed

Travel
Up to 15% domestic and international travel to partner sites, clinical locations, and industry events.
Work Environment and Physical Requirements
Standard office and laboratory environment. Occasional work in engineering labs with medical device prototypes and imaging equipment.
Equal Opportunity Statement
Hologic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
So why join Hologic?
We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you.
If you have the right skills and experience and want to join our team, apply today. We can't wait to hear from you!
Additional Info:
The annualized base salary range for this role is $128,200 - $200,500 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand.
Agency and Third-Party Recruiter Notice:
Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition, Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms, or they will not be considered.
Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.
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