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Remote Spacex Machine Learning Jobs in Boston, MA

Redhat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red Hat

Senior Machine Learning Engineer

Boston, MA · On-site +1

$174K - $287K/yr

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Principal Machine Learning Engineer

Boston, MA · On-site +1

$189K - $312K/yr

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · Remote

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

Lennar

Lead Machine Learning Engineer - REMOTE

Boston, MA · On-site +1

$111K - $146K/yr

Join a Company that Empowers you to Build your Future Lennar is seeking a Machine Learning Engineer ... Remote work schedule, with a preference for candidates based in Miami, FL; Bentonville, AR; or ...

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Remote Spacex Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

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

As of Jun 12, 2026, the average yearly pay for remote spacex machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What does a Remote SpaceX Machine Learning Engineer do?

A Remote SpaceX Machine Learning Engineer uses data-driven algorithms and models to solve complex problems for SpaceX, often focusing on areas such as rocket manufacturing, satellite communications, and mission planning. Working remotely, these engineers collaborate with cross-functional teams to design, develop, and implement machine learning solutions that improve efficiency, safety, and performance. They may analyze large datasets, build predictive models, and deploy AI systems to support SpaceX's ambitious goals in space exploration.

What are some unique challenges of working remotely as a Machine Learning Engineer at SpaceX, and how can candidates prepare for them?

Working remotely as a Machine Learning Engineer at SpaceX presents unique challenges such as collaborating across distributed teams, managing time zones, and maintaining effective communication with colleagues involved in hardware and aerospace projects. To succeed, candidates should be proactive in seeking regular updates, use collaborative tools efficiently, and be comfortable working independently while still aligning with team objectives. Familiarity with remote development environments and a strong ability to document and present complex models are also key to thriving in this role.

What is the difference between Remote Spacex Machine Learning vs Remote Spacex Data Scientist?

AspectRemote Spacex Machine LearningRemote Spacex Data Scientist
Required CredentialsAdvanced degree in Computer Science, AI, or related field; experience in ML frameworksDegree in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, and AI systems for space applicationsAnalyzing data, creating insights, and supporting decision-making processes
Employer & Industry UsageUsed in AI-driven space missions, autonomous systems, and roboticsApplied in data analysis, reporting, and predictive modeling for space projects

Remote Spacex Machine Learning specialists focus on developing AI models for space technology, while Data Scientists analyze data to inform decisions. Both roles require strong technical skills and often collaborate but serve different core functions within the industry.

What are the key skills and qualifications needed to thrive as a Remote SpaceX Machine Learning Engineer, and why are they important?

To excel as a Remote SpaceX Machine Learning Engineer, you need strong expertise in machine learning, data analysis, and programming languages like Python, along with a relevant degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud computing platforms, and version control systems is typically necessary, and certifications in machine learning or data science can be advantageous. Excellent problem-solving skills, strong communication, and the ability to collaborate remotely are key soft skills that help you stand out. These skills ensure you can develop robust ML models that support SpaceX’s technical goals while effectively working within distributed teams.
What are the most commonly searched types of Spacex Machine Learning jobs in Boston, MA? The most popular types of Spacex Machine Learning jobs in Boston, MA are:
What are popular job titles related to Remote Spacex Machine Learning jobs in Boston, MA? For Remote Spacex Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Spacex Machine Learning jobs in Boston, MA look for? The top searched job categories for Remote Spacex Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Spacex Machine Learning jobs? Cities near Boston, MA with the most Remote Spacex Machine Learning job openings:
Remote Spacex Machine Learning jobs near you

Senior Machine Learning Engineer

Redhat

Boston, MA • On-site, Remote

$174K - $287K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Job Summary

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.

As a Senior Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.

Join us in shaping the future of AI!

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

What you will do

  • Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM, and related projects, such as llm-d, LLM-compressor and speculators.

  • Create and manage inference serving deployment pipelines

  • Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models

  • Participate in technical design discussions and provide innovative solutions to complex problems

  • Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research

  • Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance

  • Give thoughtful and prompt code reviews

  • Mentor and guide other engineers and foster a culture of continuous learning and innovation

  • Continuous collaboration with internal and external open source comitters and contributors while contributing to vLLM and related projects

What you will bring

  • Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning

  • Experience with tensor math libraries such as PyTorch and NumPy

  • Strong programming skills with proven experience implementing Python based machine learning solutions

  • Ability to develop and implement research ideas and algorithms

  • Experience with mathematical software, especially linear algebra

  • Understanding of Linear Algebra, Gradients, Probability, and Graph Theory

  • Strong communications skills with both technical and non-technical team members

  • BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus.


#LI-MD2

#AI-HIRING
#vllm-1

The salary range for this position is $174,190.00 - $287,410.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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