Striveworks is hiring a
Staff Machine Learning Engineer

Summary

The job is for a Staff Machine Learning Engineer in Striveworks’ professional services division. The employee will lead machine learning projects, develop machine learning models, and work alongside a team of engineers to transform machine learning models into functional products. The role requires an advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience.

Requirements

• Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
• Demonstrated experience scoping, leading, and delivering complex technical solutions in the National Security and Defense sectors
• Proficiency in programming languages common to ML (Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn)
• Competence with software engineering tools and processes (estimation, project management, issue tracking, version control, CI/CD, debugging, etc.)
• Competent communicator in written products, presentations, and verbal interactions
• Able to communicate complex topics with professionalism, competence, and clarity, to customers’ technical and non-technical stakeholders
• Active Top Secret security clearance

Responsibilities

• Lead scoping, design, and execution of machine-learning projects for government clients; participate in requirements extraction
• Guide the development of machine-learning models and custom analytics applied to image, video, text, geospatial, time-series, and tabular data
• Develop group-level practice improvements and reusable code that accelerates time-to-value in future efforts
• Orchestrate and automate complex data pipelines and analytics algorithms within modern architectures (cloud deployment, event-driven, microservices, etc.)
• Manage small execution teams’ work toward on-time completion of project deliverables
• Conduct mission-critical fieldwork

Preferred Qualifications

• Prior experience working with SaaS, PaaS, and other software-as-a-service models
• Broad background of experience in the operational application of AI/ML
• Exceptional project planning and communication skills and the ability to elicit direct and positive outcomes from diverse interests of people and teams
• Experience as a Principal Investigator or Technical Lead on SBIR, BAA, or other technology development efforts
• Experience delivering technology solutions in secure government environments

Benefits

• Top-of-market salary and total compensation
• Generous equity plan
• Health/vision/dental insurance
• Unlimited PTO
• Parental leave