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Remote Spacex Machine Learning Jobs in Dundalk, MD

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Experience working with Machine Learning, Artificial Intelligence (AI), or Natural Language ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Remote About J29 J29 is an employee centered healthcare management consulting company that ... Implements machine learning algorithms to automate processes, make predictions, and enhance ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Remote Spacex Machine Learning information

See Dundalk, MD salary details

$25.2K

$42.1K

$87K

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

As of Sep 9, 2026, the average yearly pay for remote spacex machine learning in Dundalk, MD is $42,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,500.00 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 the key skills and qualifications needed to thrive as a remote SpaceX machine learning engineer?

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 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 job categories do people searching Remote Spacex Machine Learning jobs in Dundalk, MD look for?

The top searched job categories for Remote Spacex Machine Learning jobs in Dundalk, MD are:

Lead Data Scientist (Healthcare / ML)

Columbia, MD • Remote

System One
Business Consulting Services • 5 - 10K employees

$81/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago


Job description

Job Title: Lead Data Scientist (Healthcare / ML) Location: Columbia, Maryland Type: Contract To Hire Compensation: $81 per hour Contractor Work Model: Hybrid – onsite and remote

Responsibilities

  • Lead proliferation of machine learning and artificial intelligence solutions throughout the enterprise to improve business outcomes.
  • Identify and solve complex business problems using advanced numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
  • Communicate analytical findings effectively to product teams, leadership, and customers, while educating about artificial intelligence, machine learning, and statistical models.
  • Support data science initiatives by applying advanced analytical capabilities and leading data mining and extraction activities.
  • Synthesize analytical insights for consumption by senior management and various teams.
  • Mentor and develop junior data scientists to enhance their analytical skills and knowledge.
  • Translate business priorities into data science deliverables, ensuring alignment with organizational goals.
  • Implement best practices for ML/AI/DS, and develop scalable and robust data products and software solutions.
  • Lead interactions between analytics teams, business units, and other departments to facilitate collaboration and project success.
Requirements
  • Bachelor's Degree in Statistics, Mathematics, Computer Science, or a related field; 8 years of relevant work experience. In lieu of a degree, an additional 4 years of relevant experience is required.
  • Minimum of 8 years of experience working with provider data, including working with leadership on data issues, accuracy, and interactions with claims and claims platforms.
  • Experience with Salesforce and FACETS is required.
  • Healthcare industry experience for 2-4 years at an intermediate level.
  • Expertise in operating systems and APIs embedded in applications, with 4-6 years of experience.
  • Ability to communicate effectively, document objectives and procedures, and support data exploration and analysis tasks.
  • Proficiency in model evaluation, tuning, performance, operationalization, and scalability of scientific techniques.
  • Proficiency in statistical modeling applications and advanced SQL in multiple syntaxes.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-PJ1 #LI-PJ1 Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US