ZipRecruiter

Log In

2

Remote Machine Learning Robotics Jobs in Maryland

micro1 AI

Engineering AI Evaluator (PhD)

Baltimore, MD · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Baltimore, MD · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

CSAA

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

CSAA

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Motorola

Senior DevOps Engineer (US REMOTE)

Beltsville, MD · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

T2S Solutions

Resume Only Submission

Aberdeen, MD · On-site +1

$179K/yr

Artificial Intelligence (AI) and Machine Learning (ML); Cyber Security; Cloud Computing ... That's why we offer flexible scheduling, remote work options, and a healthy work-life balance We ...

Naval Air Systems Command

DATA SCIENTIST

Patuxent River, MD · On-site +1

$121K - $158K/yr

... and machine learning products. * You will build analytic tools to monitor and provide decision ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

... machine learning roles. * Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java ... Work Flexibility This role is eligible for full time remote work.

next page

Showing results 1-20

All JobsMachine Learning Robotics JobsRemote Machine Learning Robotics JobsRemote Machine Learning Robotics Jobs in Maryland

Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

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

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Maryland? For Remote Machine Learning Robotics jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Maryland look for? The top searched job categories for Remote Machine Learning Robotics jobs in Maryland are:
What cities in Maryland are hiring for Remote Machine Learning Robotics jobs? Cities in Maryland with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Senior Data Scientist (Business Operations)

Senior Data Scientist (Business Operations)

QinetiQ US

Fort George G Meade, MD • On-site, Remote

$135K - $185K/yr

Other

Posted 14 days ago

Job description

Company Overview
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.
Why Join QinetiQ US?
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.
Position Overview
Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:
Responsibilities
  • Collect, integrate, and validate COMSATCOM usage, inventory, operational, financial, and capability data from GFI, non-GFI, and other structured and unstructured data sources.
  • Develop and maintain predictive models, statistical analyses, and stochastic forecasting methodologies to assess current and future COMSATCOM demand, utilization, capacity, and operational risk.
  • Apply advanced analytical and AI/ML techniques - including regression, classification, clustering, anomaly detection, machine learning, deep learning, and generative AI methods - to identify trends, drivers, and decision-relevant insights.
  • Leverage DoD-approved AI and generative AI platforms, including genai.mil and equivalent NIPR/SIPR AI environments, to accelerate analytical workflows and support production of executive-ready analytic products; apply responsible AI principles including bias detection, model interpretability, and assumptions documentation.
  • Design and implement reproducible analytic workflows, data pipelines, and model validation processes to ensure transparency, traceability, and repeatability; partner with data engineers on pipeline operationalization and production deployment.
  • Translate complex operational and business questions into analytical models, simulations, and AI/ML-enabled decision-support tools for USSF CSCO leadership and mission partners.
  • Create executive-level visualizations, dashboards, and briefings that communicate complex technical and AI-generated findings to senior stakeholders in an understandable and actionable manner.
  • Maintain awareness of global, regional, and situational SATCOM trends and incorporate them into forecasts, scenario analyses, and strategic assessments.
  • Support analytic studies with COMSATCOM SMEs, including cost analyses, business case analyses, market research, commercial capability assessments, and courses of action comparisons.
  • Develop metrics, analytical frameworks, and model-based decision aids supporting planning, portfolio management, and leadership data calls with speed, accuracy, and traceability.
  • Provide technical leadership on data science best practices, AI governance, and model lifecycle management; respond to ad hoc analytic taskings from senior leadership with timely, defensible analyses.

Required Qualifications
  • Minimum of 8 years of experience in data science, data analytics, operations research, computer science, economics, engineering, mathematics, statistics, or a related quantitative field.
  • Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or a related field.
  • Secret Clearance required. #qinetiqclearedjob
  • Demonstrated experience applying advanced statistical methods, predictive analytics, and machine learning techniques to real-world operational or business problems.
  • Demonstrated experience applying or integrating AI/ML tools, including generative AI or large language model (LLM) applications, in analytic or decision-support workflows.
  • Strong proficiency in Python, SQL, and data analysis libraries and tools used for data wrangling, modeling, and visualization.
  • Experience developing executive-level visualizations, dashboards, and analytic briefings for senior decision-makers.
  • Familiarity with responsible AI principles and model governance standards applicable to DoD or government program environments.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Excellent verbal and written communication skills, including the ability to explain technical and AI-generated findings to non-technical audiences.
  • Deadline-driven, organized, detail-oriented, and able to operate effectively in a fast-paced environment.
  • Ability to support on-site client meetings within the National Capital Region.

Preferred Qualifications
  • Master's Degree or higher in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related field.
  • Experience with DoD-approved AI and generative AI platforms, including genai.mil, or equivalent NIPR/SIPR AI environments.
  • Familiarity with large language model (LLM) applications, prompt engineering, and retrieval-augmented generation (RAG) techniques applied to government or defense analytic workflows.
  • Experience supporting USG, USSF, DoD, or other national security space programs in analytically intensive environments.
  • Familiarity with U.S. Government or DoD acquisition processes, analytic rigor standards, and mission-support decision frameworks.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization platforms.
  • Experience with cloud-based data platforms (AWS GovCloud, Azure Government, Databricks) and ML/MLOps frameworks for model lifecycle management.

Pay Transparency
The salary range for this role is $135,000- $185,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Company EEO Statement
Accessibility/Accommodation:
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.
QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Apply