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

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $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 ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/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.

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

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 ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Towaco, NJ

Remote Machine Learning information

See Towaco, NJ salary details

$26.7K

$44.5K

$92K

How much do remote machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote machine learning in Towaco, NJ is $44,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

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.
More about Remote Machine Learning jobs
What cities near Towaco, NJ are hiring for Remote Machine Learning jobs? Cities near Towaco, NJ with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you

Senior Machine Learning Engineer

SW5 Consulting

New York, NY • Remote

$180K - $250K/yr

Full-time

Posted 26 days ago

Job description

Senior Machine Learning Engineer


Location: Remote (U.S.) or New York City


Compensation: $180K – $250K + Equity


Employment Type: Full-time


About Us

We’re building cutting-edge AI solutions that help some of the world’s most recognizable brands connect with their customers in smarter, more meaningful ways. Our technology predicts who to reach, when to reach them, and through which channel—maximizing engagement and driving profitable growth.


The Role


As a Senior Machine Learning Engineer, you’ll be at the heart of our product innovation. You will:

  • Design, train, and deploy ML models that power marketing personalization at scale.
  • Build robust MLOps pipelines for training, serving, and monitoring models in production.
  • Experiment and optimize using A/B testing, uplift modeling, and causal inference.
  • Collaborate with leadership and cross-functional teams, mentoring others and shaping best practices.


What We’re Looking For

  • 5+ years in software engineering, with 3+ years in ML systems.
  • Experience with GCP, specifically in Vertex AI and / or Kubeflow
  • Expertise in modern ML algorithms (tree-based methods, deep learning, transformers).
  • Hands-on experience with PyTorch, TensorFlow, XGBoost.
  • Strong Python skills and familiarity with Spark, Ray, BigQuery, Airflow.
  • Experience with MLOps, CI/CD, containerization (Docker/Kubernetes), and cloud platforms (GCP preferred).
  • Comfort with advanced experimentation techniques and performance measurement.


Bonus Points

  • Background in marketing tech or ad tech.
  • Experience with LLMs, reinforcement learning, or bandit algorithms.
  • Familiarity with causal inference and uplift modeling.
  • Startup experience and ability to thrive in a fast-paced environment.


Why Join Us?

  • Impact: Your work will directly shape how leading brands engage millions of customers.
  • Growth: Collaborate with industry veterans and learn from the best.
  • Innovation: Experiment with cutting-edge ML models and infrastructure.
  • Culture: We value ownership, iteration, and continuous learning—your voice matters.


This role is a fully remote role but you MUST be based in US and eligible to work without sponsor. Bonus points if you can occasionally get to New York. The position will pay $200-250k + equity