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Remote Machine Learning Engineer Jobs in New Jersey

Databricks

This role can be remote. The impact you will have: * Develop cutting-edge GenAI solutions ... Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate ...

Autodesk

$105K - $144K/yr

... enable machine learning across research and product development. You will help build the ... This role is fully remote-friendly, with team members distributed across the US and Canada.

UnitedHealth Group

AI/ML Engineer

Basking Ridge, NJ · On-site +1

$72K - $130K/yr

We are seeking an experienced AI Engineer to design and scale production-grade machine learning ... Open to remote outside of NJ. You will enjoy the flexibility to telecommute* as you take on some ...

GMV

AI Software Engineer

North Brunswick, NJ · On-site +1

$58.75 - $77.75/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Deloitte

AI and Data Science Engineer III

Morristown, NJ · On-site +1

$117K - $141K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Hewlett Packard Enterprise Development LP

AI Solution Engineer This role has been designated as 'Remote/Teleworker', which means you will ... Machine Learning or Deep Learning. * Experience working with Kubernetes. * Competency working with ...

Hewlett Packard Enterprise Development LP

AI Solution Engineer This role has been designated as 'Remote/Teleworker', which means you will ... Machine Learning or Deep Learning. * Experience working with Kubernetes. * Competency working with ...

MSD

Senior Specialist, Data Science

Rahway, NJ · On-site +1

... engineering, and statistics, and spans a broad range of machine learning, technology, and business ... Self-driven and able to work independently while staying closely aligned with remote teammates

Akkadian Labs

DevOps Engineer

Hoboken, NJ · On-site +1

$57.75 - $79/hr

Experience supporting AI or machine learning workloads, compute environments. * Exposure to AI ... Benefits We offer a fully remote environment, plus a competitive benefits package including medical ...

Akkadian Labs

DevOps Engineer

Hoboken, NJ · Remote

$57.75 - $79/hr

Experience supporting AI or machine learning workloads, compute environments. * Exposure to AI ... Benefits We offer a fully remote environment, plus a competitive benefits package including medical ...

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All JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in New Jersey

Remote Machine Learning Engineer information

See New Jersey salary details

$32K

$130.7K

$196.4K

How much do remote machine learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for remote machine learning engineer in New Jersey is $130,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $157,400.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
What are the most commonly searched types of Machine Learning Engineer jobs in New Jersey? The most popular types of Machine Learning Engineer jobs in New Jersey are:
What are popular job titles related to Remote Machine Learning Engineer jobs in New Jersey? For Remote Machine Learning Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in New Jersey look for? The top searched job categories for Remote Machine Learning Engineer jobs in New Jersey are:
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Remote Machine Learning Engineer jobs near you
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Databricks

On-site, Remote

Other

Posted 4 days ago

Job description

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic onsite work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)

Apply