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Remote Machine Learning Researcher Jobs in Maryland

Onyx Point, Inc.

AI Machine Learning Skill

Hanover, MD · On-site +1

$78K - $250K/yr

... requirements Research and implement a broad range of AI and ML algorithms and tools Design or ... Flexible work arrangements, including remote work options * Flexible Spending Accounts (FSAs)

Autodesk

Senior Machine Learning Engineer

California, MD · On-site +1

$100K - $137K/yr

This role is currently open to remote work. Candidates must be located near one of our hub ... Design and implement machine learning capabilities that improve Autodesk's customer-facing ...

Metric5

AI Learning Specialist

Windsor Mill, MD · Remote

$150K - $170K/yr

Bachelor's or Master's degree in machine learning, Artificial Intelligence, Computer Science, or a related field. Salary Range: $150,000 - $170,000 annually Location: Remote within the United States ...

Autodesk

... research, product, and business goals. You will be responsible for driving the evolution of the ... This role is fully remote-friendly, with team members distributed across the US and Canada.

Autodesk

You will work closely with researchers, product teams, andengineering leadership to build the ... US or Canada Remote Responsibilities * Lead architecture and delivery for major ML platform ...

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Remote Machine Learning Researcher information

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

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

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
What are popular job titles related to Remote Machine Learning Researcher jobs in Maryland? For Remote Machine Learning Researcher jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Researcher jobs in Maryland look for? The top searched job categories for Remote Machine Learning Researcher jobs in Maryland are:
What cities in Maryland are hiring for Remote Machine Learning Researcher jobs? Cities in Maryland with the most Remote Machine Learning Researcher job openings:
Remote Machine Learning Researcher jobs near you

AI Machine Learning Skill

Onyx Point, Inc.

Hanover, MD • On-site, Remote

$78K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

REQUIRED:
TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED)
The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
Required Skills:
Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
Select appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Research and implement a broad range of AI and ML algorithms and tools
Design or Select appropriate data and knowledge representation methods
Recognize software architecture, data modelling, and data structures
Transform and convert data science prototypes into scalable solutions
Verify data and model output quality
Identify differences in data distribution that affect model performance
Compensation: We are committed to providing fair and competitive compensation. The salary range for this position is $78,000 to $250,000 per year. This range reflects the compensation offered across the locations where we hire. The exact salary will be determined based on the candidate's work location, specific role, skill set, and level of expertise.
Benefits: We offer a comprehensive benefits package, including:
  • Health Coverage: Medical, dental, and vision insurance
  • Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
  • Retirement Plan: 401(k) plan with company match
  • Paid Time Off: Generous PTO, paid holidays, parental leave, and more
  • Wellness: Access to wellness programs and mental health support
  • Professional Development: Opportunities for growth, including tuition reimbursement
Additional Perks:
  • Flexible work arrangements, including remote work options
  • Flexible Spending Accounts (FSAs)
  • Employee referral programs
  • Bonus opportunities
  • Technology allowance
  • A diverse, inclusive, and supportive workplace culture

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