Machine Learning Engineer, Striveworks

• Advanced degree in data science, machine learning, or a related discipline, and 4+ years of relevant experience
• Expertise in programming languages common to ML (Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, or scikit-learn)
• Proficiency with implementing and applying algorithms, data structures, design patterns, and production analytics
• Familiarity with ML tools and frameworks and software engineering skills (version control, debugging to build production ML systems)
• Competence with software engineering tools and processes (estimation, issue tracking, version control, debugging, etc.)
• Competent communicator in written products, presentation products, and verbal communications
• Active Secret U.S. security clearance with Top Secret eligibility

Desirable

• As a Machine Learning Engineer (MLE) in Striveworks’ professional services division, you will be challenged—and trusted—on day one to take ownership of machine learning projects that impact a diverse set of Striveworks customers
• You will be responsible for bringing machine learning and advanced analytics solutions to Striveworks’ customers
• You will be a key Striveworks representative and solutions provider to project sites and customers where Chariot, our proprietary data platform, is deployed
• You will be led by and work alongside a team of engineers to transform machine learning models into functional operationalized products
• Scope, design, and develop machine-learning solutions for government and commercial clients
• Develop machine-learning models and custom analytic algorithms applied to image, video, text, geospatial, time-series, and/or tabular data
• Orchestrate and automate complex data engineering and analytic pipelines within modern architectures (event-driven, microservices, etc.)
• Opportunity to conduct mission-critical fieldwork
• A Machine Learning Engineer on the Striveworks Engagements Team (professional services) is customer-facing and executes with the agency of exceptional technical creativity
• You will use your expertise to develop AI/ML projects, and you will rapidly prototype and deliver machine learning capabilities for our customers
• You will tackle real-world problems as they unfold, utilizing your technical expertise and communication skills to provide reliable and scalable solutions
• You will be expected to wear multiple hats and step into vacuums where more work is needed, and you will be given the breadth to overcome ambiguity
• You will work daily with software engineers, data scientists, program managers, account executives, and end users of our products