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Remote Machine Learning Jobs in Rutherford, NJ (NOW HIRING)

Raceon Gmbh

(Senior) Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

General Information RaceOn is seeking a Senior Machine Learning Engineer as well as a Junior ... Work Location | USA | Remote possible (role-dependent) | Limited Travel required Why us? Your ...

New

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$150K - $180K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking ...

Shaped

Senior Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

New

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114.30K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience ...

Sibitalent

Artificial Intelligence Engineer

Manhattan, NY · Remote

$113K - $148.80K/yr

... Remote) Machine Learning Engineer (L5) - Studio Media Algorithms Machine Learning Engineer (L4/5) - Studio Media Algorithms United States $100,000.00-$120,000.00 13 hours ago United States $85,000.00 ...

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Keebo

Senior Machine Learning Engineer

Manhattan, NY · Remote

$115.20K - $158.20K/yr

... a fully remote, global team with team members currently in the US, EU, and Canada. What we Offer Working with a world‐class team of researchers and engineers in machine learning to turn AI ...

New

Headspace

Principal Machine Learning Engineer

New York, NY · On-site +1

$207K - $258.70K/yr

Machine Learning at Headspace is a dynamic and innovative group whose mission is to improve the ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

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 ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

10a Labs

Machine Learning Engineer

New York, NY · Remote

$150K - $250K/yr

At least 3-8+ years of professional working experience as a Machine Learning engineer, building ... Fully remote, U.S.-based. * Health Benefits: Comprehensive health, dental, and vision coverage.

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Remote Machine Learning information

See Rutherford, NJ salary details

$26K

$43.4K

$89.7K

How much do remote machine learning jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote machine learning in Rutherford, NJ is $43,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,900.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What job categories do people searching Remote Machine Learning jobs in Rutherford, NJ look for? The top searched job categories for Remote Machine Learning jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Remote Machine Learning jobs? Cities near Rutherford, NJ with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Rutherford, NJ as of May 2026, with employment types broken down into 6% Internship, 65% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,411 per year, or $20.9 per hour.

(Senior) Machine Learning Engineer

Raceon Gmbh

Manhattan, NY • Remote

$115.20K - $158.20K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

General Information RaceOn is seeking a Senior Machine Learning Engineer as well as a Junior Machine Learning Engineer to architect and build production ML systems that create a competitive advantage on race day. The tasks are slightly different but candidates will be managed via the same application and more details will be available in the interview. A generalization of tasks is listed below as well as profile requirements.

Any applications not matching minimum profile requirements will be ignored. Your profile 2+ years building production ML systems MSc in Machine Learning, Data Science, Computer Science, or related field (or equivalent experience) Strong Python and experience with ML libraries (scikit-learn and/or PyTorch/TensorFlow) Experience with data handling and querying ( SQL ) Understanding of model evaluation, deployment concepts, and version control (Git) Ability to work in complex engineering environments and communicate with non-ML stakeholders Advantageous would be: time-series forecasting, optimization, real-time systems, dashboards, sports/motorsport analytics, AWS experience. Work Location | USA | Remote possible (role-dependent) | Limited Travel required Why us?

Your mission Develop, validate, and deploy ML models for performance and operational use cases (e.g., predictive analytics, decision support, performance measurement) Build data pipelines and analysis workflows for structured and time-series data Implement monitoring and iteration practices for deployed models (MLOps basics) Collaborate with engineering and performance stakeholders to translate requirements into deliverables Contribute to ML infrastructure and codebase quality (reviews, documentation, reusable components) Travel occasionally for live validation and stakeholder feedback (role dependent; approx. 5–6 race weekends/year for some assignments) #J-18808-Ljbffr

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