ZipRecruiter

Log In

1

Associate Machine Learning Jobs in Waterbury, CT

Sbdinc

Coiling Associate 2nd shift 26.69/hr

Danbury, CT

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Set up and operate a variety of machinery such as mandrel coiling, strip machine, wire mills ... Learning & Development: Our lifelong learning philosophy means you'll have access to a wealth of ...

Crateandbarrel

Sales Associate

Bridgeport, CT · On-site

$14.25 - $19.25/hr

With a team of more than 8,000 associates spanning 130 store and distribution locations across the ... learning management system, telephone/intercom system, copier, fax machine, SKU and tagger guns ...

next page

Showing results 1-20

All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Waterbury, CT

Associate Machine Learning information

See Waterbury, CT salary details

$32.2K

$136K

$321.4K

How much do associate machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for associate machine learning in Waterbury, CT is $135,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $206,400.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

Associate Machine Learning jobs near you

Postdoctoral Associate Position - Functional Genomics / Regulatory Genomics / Human Evolution & Dise

Yale University

New Haven, CT • On-site

Full-time

Re-posted 2 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 Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused on understanding how genetic variants impact human health, evolution, and disease. The lab seeks to answer a fundamental question remaining in biology: "how do genetic changes lead to functional changes at the molecular, cellular, and phenotypic level?" The Reilly Lab is funded by the NIH, the Pew Charitable Trusts, and other foundations, and is an affiliate of the Impact of Genomic Variation on Function (IGVF) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput experimental approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar.
The postdoctoral associate will - based on their research interest - contribute across one or more of the lab's five core themes:
  • Genomic Technology: Design and execute new, large-scale experimental screens to perturb CREs, including non-coding CRISPR screens and MPRAs.
  • Deciphering Regulatory "Grammar": Use saturation mutagenesis paired with machine-learning models to understand the rules by which CREs regulate gene expression.
  • Interrogating Genetic Architectures: Explore how combinations of variants together create a phenotype or disease state through phenotype associations and network logic models.
  • Writing Novel Genome Function: Design and validate synthetic sequences that promote cell-type-specific gene expression.
  • Exploring Evolution & Human Health: Investigate how changes in the non-coding genome shape modern human phenotypes, disease risk, and the evolution of our species, including signals of positive selection across global populations.

In addition, the postdoctoral associate will:
  • Analyze and interpret large-scale genomic, functional genomics, and population genetics datasets
  • Contribute to manuscript preparation, grant writing, and collaborative projects within the lab and across the IGVF and ENCODE consortia
  • Participate in written and oral communication of research findings
  • Prep and publish original research, including abstracts and peer-reviewed manuscripts
  • Mentor trainees (as appropriate) and participate in a highly interactive research environment

Qualifications
We're looking for inquisitive, creative, and passionate researchers with a PhD, MD, or MD/PhD (or related field such as genetics, genomics, computational biology, biochemistry, machine learning, population genetics, or evolutionary biology). The lab is multi-disciplinary, and applicants from a variety of backgrounds - including those interested in human evolution, building new genomic tools, or analyzing complex data - would find a project here. Strong communication skills and the ability to work both independently and as part of a team are essential. A two-year commitment is required.
Application Instructions
Interested postdoctoral applicants should apply via Interfolio: https://apply.interfolio.com/184726 and include (1) a CV, (2) a brief description of their scientific interests and how these intersect with the lab's interests, and (3) copies of their major manuscripts.

What Yale University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply