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Remote Machine Learning Engineer Jobs in Cambridge, MA

Red Hat

Machine Learning Engineer, Distributed vLLM

Boston, MA · On-site +1

$136.32K - $287.41K/yr

As a Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Machine Learning Engineer, Distributed vLLM

Boston, MA · On-site +1

$136.32K - $287.41K/yr

As a Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

General Motors

Senior Machine Learning Engineer

Boston, MA · On-site +1

$170K - $240K/yr

As a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of ...

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$34.7K

$141.9K

$213.2K

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

As of May 28, 2026, the average yearly pay for remote machine learning engineer in Cambridge, MA is $141,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $170,800.00 per year, depending on experience, location, and employer.

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.

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 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.
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What cities near Cambridge, MA are hiring for Remote Machine Learning Engineer jobs? Cities near Cambridge, MA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you

Senior ML Engineer: LLM Reasoning & Training (Remote)

Alignerr

Boston, MA • Remote

$113.50K - $155.90K/yr

Full-time

Posted 8 days ago

Job description

Alignerr is seeking a Senior Machine Learning Engineer to shape the next generation of AI systems by authoring high-fidelity reasoning traces. This fully remote role allows you to work independently, requiring expertise in machine learning, and strong written communication skills. Ideal candidates should have a solid grasp of model reasoning and training methodologies.

Join a dynamic team to contribute to significant AI advancements while enjoying freelance autonomy and flexible scheduling. J-18808-Ljbffr

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