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Remote Machine Learning Engineer Jobs in New York

PLAID

Senior Machine Learning Engineer - Credit

Manhattan, NY · On-site +1

$115K - $158K/yr

We're looking for machine learning engineers with experience applying state-of-the-art machine learning and modeling techniques, including natural language processing, anomaly detection, optimization ...

Nexxen

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$180K - $220K/yr

Sr. Machine Learning Engineer Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers, and broadcasters around the world to utilize data and advanced TV in the ways ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Mercor

Senior 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 ...

Orita

Senior Machine Learning Engineer

New York, NY · On-site +1

$180K - $250K/yr

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 ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical ... This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in New York

Remote Machine Learning Engineer information

See New York salary details

$34.5K

$140.9K

$211.7K

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 York is $140,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,600.00 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 York? The most popular types of Machine Learning Engineer jobs in New York are:
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What cities in New York are hiring for Remote Machine Learning Engineer jobs? Cities in New York with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Machine Learning Engineer, Prediction & Planning

Machine Learning Engineer, Prediction & Planning

Waymo

Manhattan, NY • On-site, Remote

$175K - $215K/yr

Other

Posted 13 days ago

Job description

Machine Learning Engineer, Prediction & Planning

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.

In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews.

You will:

  • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo's business.
  • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles.
  • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements.
  • Develop and evaluate large models, and integrate them into Waymo's production planning software for real-world applications through close partnership with the Planner and Research teams.

You have:

  • BS in Computer Science, ML, Robotics, similar technical field of study
  • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles
  • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact
  • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
  • Proficient programming skills (eg: Python, C/C++)
  • Strong analytical and debugging skills

We prefer:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field
  • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
  • General software engineering experience solving motion planning or related robotics problems
  • Experience applying or evaluating ML-based systems in production environments
  • Experience with performance optimization of deep models, including with respect to specific hardware architectures

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $175,000—$215,000 USD

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