ML Research Scientist

$130,000 - $160,000/Yr

Insight Global - Reston, VA

Full-time - Mid Level

Remote - Reston, VA

Administrative and Support Services

About the position

The ML Research Scientist position at Insight Global is a fully remote role focused on supporting federal clients through advanced machine learning initiatives. The role involves a combination of technical execution and project capture, requiring collaboration with teams of data scientists and engineers to develop and implement state-of-the-art machine learning algorithms and solutions. The scientist will also contribute to proposal generation for research and development projects and communicate technical results to diverse audiences.

Responsibilities

• Contribute to complex data-driven development projects involving diverse data types using modern ML architectures
• Implement sophisticated feature extraction techniques from complex, high-dimensional datasets
• Develop and utilize MLOps pipelines to develop/train/test/validate/deploy ML models
• Work with teams of other data scientists, research scientists, and engineers using an Agile development approach
• Formulate, prototype, implement, and test existing state-of-the-art as well as novel ML algorithms to solve customer problems
• Contribute to the generation of competitively sourced proposals for contract R&D projects
• Produce and communicate reports and presentations that summarize technical results to technical and non-technical audiences
• Stay up to date with current state-of-the-art data science/ML methods and work with team to employ these methods within current and future R&D projects

Requirements

• B.S. degree in computer science, data science, engineering, or a physical science and 4+ years of prior relevant experience or Masters in technical domain above with 2+ years of experience or Ph.D. in a technical domain above
• Qualified candidates must be able to obtain and maintain a Secret security clearance (no clearance needed to start)
• Proficiency in Python, PyTorch, Tensorflow, Pandas, and Scikit-learn
• Experience solving a variety of machine learning problems (e.g., supervised and unsupervised learning techniques, statistical estimation, etc.)
• Experience with graph database technologies and graph-based machine learning
• Proficient in data exploration techniques and tools
• Ability to work in a fast-paced, collaborative team environment utilizing Agile methodologies
• Self-starter with high intellectual curiosity
• Good communication skills with ability to explain results to a non-technical audience
• Demonstrated track record of extending ML and AI tools and algorithms to new domains
• Experience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges
• Strong theoretical and practical understanding beyond a basic level of graph machine learning, transformer models, foundation models, and/or generative models
• Experience adapting ML algorithms and tools with operational workflows for customers in the US government

Nice-to-haves

• Candidates with Ph.D. in computer science, data science, engineering, or a physical science are preferred

Benefits

• Competitive hourly compensation range of $62.50/hr - $76.92/hr
• Conversion salary range of $130k - $160k
• Commitment to diversity and inclusion in the workplace
• Equal opportunity employer with affirmative action policies