ML Engineer

About The Company

Striveworks is a pioneering organization dedicated to empowering organizations with advanced artificial intelligence solutions tailored for unpredictable and complex environments. Founded by a team of experienced data scientists and engineers, the company specializes in transforming raw data into actionable insights through robust AI systems. Striveworks serves clients primarily in national security and business sectors, providing mission-critical AI capabilities that are reliable, scalable, and adaptable. The company's core mission is to simplify the journey from AI deployment to continuous optimization, ensuring that models perform effectively where they are deployed, scale seamlessly with growing workloads, and adapt rapidly to evolving capabilities. With a focus on reliability, performance, and cost-efficiency, Striveworks enables its clients to make confident, data-driven decisions in dynamic operational landscapes.

About The Role

The Staff Machine Learning Engineer at Striveworks is a senior technical leader responsible for designing, developing, deploying, and maintaining cutting-edge AI solutions. This role involves direct engagement with clients and internal teams to define requirements, architect scalable machine learning models, and oversee the end-to-end lifecycle of AI-powered systems. The successful candidate will bring a blend of software engineering expertise and data science acumen to solve real-world problems across various data modalities, including image, video, text, geospatial, and time series data. You will lead cross-functional teams, guide technical strategy, and contribute hands-on to critical projects. Additionally, you will play a key role in shaping the company's platform capabilities, ensuring the delivery of reliable, scalable, and efficient AI solutions that meet the rigorous demands of mission-critical environments. This position offers flexibility with remote work options or hybrid arrangements at our Austin, Texas office, with travel up to 20% as needed.

Qualifications

• Advanced degree (Master's or PhD) in data science, machine learning, computer science, or a related discipline
• 10+ years of relevant experience in machine learning, data science, or software engineering
• Proficiency in Python, with extensive experience using libraries such as TensorFlow, PyTorch, and scikit-learn
• Strong systems programming skills in languages like Go, Rust, C++, Java, or Scala
• Experience designing and deploying algorithms, data structures, and analytics in cloud environments
• Proven track record of delivering complex technical solutions in production environments
• Familiarity with modern software engineering practices including Agile, version control, CI/CD, and debugging tools
• Experience leading and mentoring cross-functional teams across remote and on-site locations
• Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders
• Eligibility and willingness to obtain and maintain a US Secret (or higher) security clearance
• U.S. citizenship required

Responsibilities

• Collaborate with clients, engineers, and stakeholders to gather and define project requirements that leverage AI capabilities to solve real-world problems
• Translate business requirements into technical approaches, design specifications, and project plans
• Lead and coordinate execution teams to ensure timely delivery of project milestones aligned with customer value
• Design, orchestrate, and automate complex data pipelines and machine learning algorithms within modern architectures such as cloud, microservices, and event-driven systems
• Guide the development and refinement of machine learning models across diverse data types including images, videos, text, and geospatial data
• Identify opportunities for process improvement, reusable functionality, and new business avenues through insights and feedback
• Engage in fieldwork and interface directly with customers and stakeholders at operational sites to ensure solutions meet real-world needs
• Contribute to the evolution of the company's AI platform by informing future capabilities and features

Benefits

• Medical, dental, and vision insurance coverage
• Voluntary life, long-term disability, accident, and hospital indemnity insurance options
• Health Savings Account (HSA) and Flexible Spending Account (FSA) plans, including dependent care FSA
• 401(k) retirement plan with company matching
• Unlimited paid time off (PTO) to promote work-life balance
• Paid parental leave to support new parents