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Remote Python Machine Learning Jobs in Freehold, NJ

Senior Machine Learning Engineer

New York, NY ยท On-site +1

$180K - $250K/yr

The Role As a Senior Machine Learning Engineer at Orita, you will: * Build and Productionize Models ... Strong proficiency in Python (numpy, pandas, etc.). * Experience with scalable data processing ...

Senior Machine Learning Test Engineer

New York, NY ยท On-site +1

$120.90K - $157K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Senior Staff Machine Learning Engineer

New York, NY ยท On-site +1

$114.30K - $157K/yr

You have production experience developing large-scale machine learning systems in Java, Scala, Python, or similar languages. Experience with PyTorch, Tensorflow, JAX is a strong plus * You have hands ...

Machine Learning Engineer

New York, NY ยท 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 ...

Python Tutor

Point Pleasant, NJ ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

New Brunswick, NJ ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Trenton, NJ ยท Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... Python, Scala, Java, or Go- Experience with large-scale data systems (e.g Spark, Ray), real-time ... learning and causal machine learningFor New York, NY-based roles: The base salary range for this ...

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

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Remote Python Machine Learning information

See Freehold, NJ salary details

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How much do remote python machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python machine learning in Freehold, NJ is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.68 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.
What cities near Freehold, NJ are hiring for Remote Python Machine Learning jobs? Cities near Freehold, NJ with the most Remote Python Machine Learning job openings:

Senior Machine Learning Engineer

Orita

New York, NY โ€ข On-site, Remote

$180K - $250K/yr

Full-time

Posted 25 days ago


Job description

About Orita
Orita builds AI customer segments for many of the best brands in the world including (deep breath) Spanx, ThirdLove, True Classic, Tracksmith, Harney & Sons, Sun Bum, Ministry of Supply, Thursday Boots, gorjana, and hundreds more.
Orita's algorithms help brands understand who wants to hear from them, when, and through what channel (email, SMS, direct mail today, more coming soon ...). By messaging prospects and customers when they're actually listening, you're able to make a bunch of money.
In a world where acquisition costs are skyrocketing, fixing retention and driving LTV is the key to profitable growth.
The Role
As a Senior Machine Learning Engineer at Orita, you will:
  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.
Ideal Background
Please apply even if you don't meet every requirement. We're looking for a versatile engineer who can learn quickly and own problems end-to-end.
  • Education & Experience
    • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • ML Expertise:
    • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
    • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
    • Feature engineering using aggregations, embeddings, and sub-models.
  • MLOps & Cloud:
    • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
    • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
    • Experience iterating models in a production environment is a must.
  • Software Engineering Skills
    • Strong proficiency in Python (numpy, pandas, etc.).
    • Experience with scalable data processing (Spark, Ray, BigQuery).
    • Job orchestration (Airflow)
  • Analytical & Statistical Background
    • Comfortable with advanced experimentation techniques.
    • Understanding of performance measurement in real-world deployments.
  • Soft Skills & Culture
    • Comfortable wearing many hats-data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle.
    • Excellent communication-able to explain complex ML concepts to non-technical stakeholders.
    • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.
Bonus Points
  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.
Why Orita?
  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning-everyone's voice matters.

Orita is an Equal Opportunity Employer and does not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation, or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics.