Insight Global is seeking a Tier III Machine Learning Research Scientist to support one of our large federal clients. This is a fully remote position responsible for a mix of capture-based initiatives and technical execution with a day-to-day including but not limited to:
* 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.
* Will be working with a team of 5 T2/T3 ML peers supporting the Innovation Center of Excellence.
Hourly Compensation Range: $62.50/hr - $76.92/hr
Conversion Salary: $130k - $160k
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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* 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
* Candidates with Ph.D. in computer science, data science, engineering, or a physical science are preferred.
* 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
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.