Junior Machine Learning Engineer

Striveworks • Austin, TX

13d • $100,000 - $130,000 • Hybrid

About The Position

Striveworks is seeking a Junior Machine Learning Engineer to be a core contributor to customer-driven projects and the company's enduring products. This role involves developing AI capabilities, custom analytics, and mission-critical solutions applied to various data types (image, video, text, geospatial, time series, structured, etc.). The engineer will orchestrate complex data engineering pipelines in agentic and traditional architectures, influencing the company's AI operations platform, Chariot. The work will have an impact on mission-critical deployments and direct customer contact.

Requirements

• BS degree in computer science, machine learning, or a related discipline.
• 0-2 years of relevant experience.
• Strong proficiency in Python including experience with libraries and frameworks like PyTorch, TensorFlow, and/or scikit-learn.
• Strong software engineering fundamentals and experience with at least one systems programming language.
• Exposure to the development and use of machine learning models, through either coursework or practical experience.
• Familiarity with modern software engineering tools and processes.
• US citizenship and eligibility and willingness to obtain and maintain a US security clearance (Secret or above).

Nice To Haves

• Demonstrated software development through personal, academic, or open source projects.
• Advanced degree in computer science, data science, machine learning, or a related discipline.
• Excellence in Python and deep knowledge of machine learning libraries.
• Experience performing exploratory data analysis on structured and unstructured data.
• Experience with agentic workflows, LLM evaluation, testing, observability, or guardrails.
• Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or other modern AI application patterns.
• Knowledge of relevant architectures and design patterns for client-server systems.
• Experience implementing and deploying software in containerized or cloud environments, using tools such as Docker, Podman, or Kubernetes (K8s).
• Experience working with asynchronous programming, concurrency, or event-driven architectures.
• Active Secret (or above) US security clearance.

Responsibilities

• Develop AI capabilities, custom analytics, and mission-critical solutions.
• Orchestrate complex data engineering pipelines in agentic and traditional architectures.
• Contribute to customer-driven projects and enduring company products.
• Work alongside data scientists, software engineers, and DevOps engineers.
• Apply solutions to image, video, text, geospatial, time series, structured, and other data.

Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans
• 401(k) plan
• Unlimited PTO
• Paid parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level