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Machine Learning Engineer Associate Jobs in Guilford, CT

Mpr Associates, Inc.

Summer/Co-op Engineer

East Lyme, CT · On-site

$1.0K - $1.4K/wk

Overview MPR Associates, Inc. (MPR), a thriving multi-discipline, specialty engineering services ... machine learning, quality assurance, and process development)) * Capital Project Management and ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... In addition, this role leads the operationalization of machine learning models, ensuring they are ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$160K - $185K/yr

Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning. * Experience working with Medical Images and Magnetic Resonance Images. * Software engineering experience in ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Guilford, CT

Machine Learning Engineer Associate information

See Guilford, CT salary details

$42.2K

$84.1K

$134.4K

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

As of Aug 18, 2026, the average yearly pay for machine learning engineer associate in Guilford, CT is $84,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,700.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Guilford, CT?

The most popular types of Machine Learning Engineer jobs in Guilford, CT are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Guilford, CT?

For Machine Learning Engineer Associate jobs in Guilford, CT, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Associate jobs in Guilford, CT look for?

The top searched job categories for Machine Learning Engineer Associate jobs in Guilford, CT are:

What cities near Guilford, CT are hiring for Machine Learning Engineer Associate jobs?

Cities near Guilford, CT with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you

2026 - 2027 Associate/Full Professor, Wu Tsai Institute and Partner Department(s) - Neurocomputation

Yale University

New Haven, CT • On-site

Full-time

Posted 11 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities

Job description

Description
The mission of Yale's Wu Tsai Institute (WTI) is to understand human cognition and explore human potential by sparking interdisciplinary inquiry. In this search, WTI invites exceptional candidates with expertise in computational areas to apply for a tenured endowed faculty position, at the Associate or Full Professor rank, to begin July 2027 or later. There is one opening available.
We seek applicants whose research program has made breakthroughs in computational modeling that advance theoretical understanding of the brain and cognition. Applicants should have a background in applied mathematics, computer science, data science, engineering, or related field and have research experience or interests at the interface of neuroscience and computation, in particular artificial intelligence and machine learning.
Successful candidates will receive a tenured appointment in one or more departments in the Faculty of Arts and Sciences, School of Engineering and Applied Science, and/or School of Medicine. WTI is dedicated to hiring, mentoring, and advocating for colleagues who foster excellence in our community through their research, teaching, mentoring, and service. We are eager to accommodate the needs of families and welcome applications from dual-career couples to this search or a combination of Yale searches.
Background: WTI was founded in 2021 by a historic gift from Joe Tsai and Clara Wu Tsai to reveal fundamental truths about the mind through the integrated study of the brain. Based at 100 College Street in New Haven, with research linkages across Yale campuses, WTI rests on three pillars that coordinate its research activities: the Center for Neurodevelopment and Plasticity, the Center for Neurocognition and Behavior, and the Center for Neurocomputation and Machine Intelligence. WTI enables interdisciplinary inquiry through fellowships for co-mentored postdocs, grad students, and undergrads; shared research facilities and services with cutting-edge technologies; collaborative grants to nucleate disruptive ideas; and regular conferences, workshops, seminars, and opportunities for professional development. WTI integrates approaches across disciplines through common mathematical, statistical, and computational frameworks. WTI fosters a welcoming environment that provides equal opportunity to people of a broad range of backgrounds and perspectives. For more information, please visit the WTI website: https://wti.yale.edu.
Qualifications
Applicants must have a PhD (or equivalent) at time of hire and hold a research faculty position or equivalent at a level of seniority appropriate for tenure at the time of the application.
Yale scientists are not eligible for this position.
Relevant fields in the past have included:
  • computational neuroscience
  • theoretical neuroscience
  • applied mathematics
  • data science
  • machine learning
  • computer science
  • artificial intelligence
  • biomedical engineering
  • electrical engineering

Application Instructions
WTI seeks outstanding applicants who advance understanding of cognition across scales, species, and methods from a broad range of disciplines.
Applications will be evaluated on a rolling basis for alignment with the Center for Neurocomputation and Machine Intelligence beginning December 1st and until the position is filled.
Applicants must submit the following materials for full consideration:
  • Application Form - Indicate your desired level of tenured appointment (Associate Professor or Full Professor) and broad area(s) of research.
  • Research Contributions and Plans - Describe your most significant scientific discoveries and accomplishments to date and the focus and goals of your future research program in a supportive environment like WTI. Address how this vision aligns with the mission of WTI to understand cognition through an interdisciplinary lense. (4 pages max, references can be included in a separate page)
  • Teaching, Mentoring, and Leadership - Describe your philosophy, experience, and plans for teaching and mentoring, including how you foster productive, fair, and welcoming research and learning environments. Describe your leadership experience and contributions, for example, improving your field(s) and/or institution. (2 pages max)
  • Curriculum Vitae - Include your most recent CV with links to publications (or website).

If you have any questions, please contact wti@yale.edu.

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