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Machine Learning Engineer Jobs in Norwalk, CT (NOW HIRING)

WITHIN

Machine Learning Engineer

New York, NY · On-site

$90.90K - $254.10K/yr

We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary ...

PermitFlow

Applied Machine Learning Engineer

New York, NY · Remote

$175K - $250K/yr

Role Overview As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow's AI agents. You'll design, prototype, and deploy intelligent systems that process documents ...

10a Labs

Machine Learning Engineer

New York, NY · On-site

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building, owning and deploying machine learning systems in production. * Strong foundation in traditional ML ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

Overview As a Senior Machine Learning Engineer at Phia, you'll build and scale production ML systems that power core product experiences and decision-making. You'll work across the full ML stack ...

PermitFlow

Applied Machine Learning Engineer

New York, NY · On-site

$175K - $250K/yr

Role Overview As an Applied Machine Learning Engineer, you will develop the ML foundation for PermitFlow's AI agents. You'll design, prototype, and deploy intelligent systems that process documents ...

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Qualifications Must-Have * 3+ years of research, academic, or industry experience in Machine Learning , Data Science , Software Engineering , Computer Science , Statistics , Biology , Electrical ...

Fireworks AI

Applied Machine Learning Engineer

New York, NY · On-site

$170K - $240K/yr

As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting-edge AI research and practical, real-world applications. Your work will focus on developing, fine-tuning, and ...

Middesk

Machine Learning Engineer

New York, NY · On-site

$175K - $260K/yr

We're looking for a hands-on Machine Learning Engineer with strong Data Science expertise to take end-to-end ownership of the ML lifecycle: from feature design and model development, to deployment ...

Attentive

Senior Machine Learning Engineer

New York, NY · On-site

$244K - $320K/yr

About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will ...

Verneek

Machine Learning Engineer

New York, NY · On-site

$40K - $200K/yr

... machine learning frameworks such as PyTorch * Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production * Work authorization in the USA at the time of ...

Verneek

Machine Learning Engineer

New York, NY

$40K - $200K/yr

... machine learning frameworks such as PyTorch * Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production * Work authorization in the USA at the time of ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179.40K - $224.25K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at Headspace is a dynamic and innovative group whose mission is to improve the experiences of our members and ...

Rockstar Games

Senior Machine Learning Engineer

New York, NY

$114.30K - $157K/yr

Rockstar Games is on the lookout for a skilled Senior Machine Learning Engineer with strong software development skills who is passionate about games, big data and Machine Learning to join a team ...

New

S&P Global

Principal Machine Learning Engineer

New York, NY · Remote

$165K - $210K/yr

We are seeking an exceptional Principal Machine Learning Engineer to join our organization at the forefront of applied AI. This is a senior individual contributor role designed for a practitioner who ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Norwalk, CT

Machine Learning Engineer information

See Norwalk, CT salary details

$31.7K

$129.5K

$194.6K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer in Norwalk, CT is $129,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $155,900.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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 strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Norwalk, CT? The most popular types of Machine Learning Engineer jobs in Norwalk, CT are:
What cities near Norwalk, CT are hiring for Machine Learning Engineer jobs? Cities near Norwalk, CT with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

WITHIN

New York, NY • On-site

$90.90K - $254.10K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

About the Role: We are in search of an exceptional Machine Learning Engineer to join our accomplished team. In this role, you will take the lead in developing and fine-tuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial part in delivering actionable insights and solutions to our clients, and your work will be integral to our mission.
Responsibilities include but are not limited to;
  • ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health.
  • Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
  • Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
  • Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
  • Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into our products through APIs.
  • Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.

Requirements
  • Master's or Ph.D. in a related field with a strong academic background.
  • Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models.
  • Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
  • Proficiency in data manipulation, feature engineering, and model evaluation.
  • Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
  • Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
  • A passion for continuous learning and staying updated with the latest trends and technologies in data science.
  • Strong problem-solving abilities and the capacity to translate complex data into actionable insights.

Required knowledge of:
  • Python
  • SQL
  • Cloud Platforms (GCP, AWS, Azure)
  • Data Warehouses (BigQuery, Snowflake, Redshift)
  • LLMs / AI APIs
  • Git / GitHub

Nice to have:
  • Data Transformation (dbt)
  • Semantic Layers (Cube, Looker, dbt Metrics)
  • TypeScript
  • Bayesian modeling experience - ideally Marketing Mix Models (PyMC, Stan, or similar..). Understands priors, MCMC sampling, posterior diagnostics.
  • Causal inference / experimentation- geo experiments (matched markets), A/B testing at scale. Familiar with incrementality measurement.
  • Marketing/advertising domain- understanding of attribution, media channels (paid social, search, display, video), campaign structures.
  • Nice to have - familiarity with adstock/saturation curves and budget optimization

Our interview process includes, but is not limited to the following:
  • Excel and Typing Test

We offer a competitive salary and benefits based on ability level, including:
  • Unlimited vacation policy
  • Monthly Phone Stipend
  • Comprehensive Medical, Dental, and Vision insurance options
  • 401(K) plan with matching
  • Dog friendly office
  • Hybrid work opportunity
  • Professional Development Program
  • Bonus Perk - Seamless allowance

Total compensation based on education, experience, and skills level ($90,900-$254,100)
  • Level 1 - Possesses essential capabilities
    • $90,900-$123,540
  • Level 2 - Possesses developing capabilities
    • $123,540-$156,180
  • Level 3 - Possesses notable capabilities.
    • $156,180-$188,820
  • Level 4 - Possesses strong capabilities.
    • $188,820-$221,460
  • Level 5 - Possesses advanced capabilities.
    • $221,460-$254,100

About WITHIN
WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.
Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.
Check out some of our work!
We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed.
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Locations
  • New York City: 43-01 22nd St, Suite 602, Queens, NY 11101, United States
  • Bogotá: WeWork Av. Carrera 19 #100-45 Usaquén, Piso (Floor) 10, Bogotá, Distrito Capital de Bogotá 110111, Colombia
  • Mexico City: Av. Insurgentes Sur 1082, Piso (Floor) 2, Oficina 2008, Ciudad de México, CDMX 03100, México

AI-Assisted Screening Notice
As part of our initial application review process, we may use an AI-assisted tool to help compare skills and job titles from your resume with the requirements of the role. This tool evaluates information based on contextual relevance and is used only to support our manual review process. It is not used to make hiring decisions.
If you are a resident of New York City and would like to request an alternative evaluation process or a reasonable accommodation, please contact us at legal@within.co.

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