Warehouse Associate – Uline | Kenosha, WI (Onsite)
Uline
Join Uline as a Warehouse Associate handling customer orders, outbound trailers, and supplier deliveries. Full-time day and night shifts are available in Kenosha, Wisconsin.
Open
Striveworks develops machine learning operations software for organizations that need to put AI into practice with greater speed, oversight, and accountability. Its Chariot platform supports the full model lifecycle, from building and deploying models to monitoring performance and maintaining audit trails. The company’s capabilities span computer vision, natural language processing, and generative AI, with an emphasis on governance and making data-driven tools usable beyond specialist teams. Striveworks works across healthcare, logistics, consulting, physical security, national security, cybersecurity, and finance, offering deployment approaches suited to different operational environments.
Senior Machine Learning Engineer - Texas Remote
Build LLM-powered agents, data workflows, and dependable machine learning systems for Striveworks’ AI operations platform. Support mission-critical government deployments through customer-focused engineering and direct collaboration.
United States
Texas$160,000 – $200,000 / year
RemoteFull-timeSeniorEnglish RequiredMachine Learning EngineerDescription
- Create machine learning solutions for customer engagements and internal products
- Coordinate complex data pipelines and agentic workflows
- Contribute to the development of Chariot, Striveworks’ proprietary AI operations platform
- Build dependable AI systems spanning models, agents, tools, and workflows
- Evaluate and enhance AI system performance and usability
- Partner with customers, data scientists, software engineers, and DevOps engineers
- Guide platform enhancements and broaden the company’s technical capabilities
- Assist mission-critical deployments through direct customer engagement
- Travel as much as 20% of the time
Requirements
- Bachelor’s degree in computer science, machine learning, or a related field, plus at least six years of relevant experience
- Proven delivery of data-focused systems involving data engineering, data cleaning, ETL pipelines, machine learning, and production analytics
- Hands-on experience designing, developing, evaluating, and optimizing LLM-based agents and agentic workflows
- Experience connecting AI systems to external tools, APIs, MCP servers, and enterprise data sources
- Experience creating evaluation methods and frameworks for agent performance, reliability, and safety
- Working knowledge of RAG, tool use, planning, and multi-agent system architectures
- Strong command of machine learning languages and libraries, with advanced Python skills and experience with TensorFlow, PyTorch, and/or scikit-learn
- Solid software engineering foundation in algorithms, data structures, and design patterns
- Proficiency in at least one systems language, including Go, Rust, C++, Java, or Scala
- Experience with current software development practices and tools such as Agile, version control, issue tracking, CI/CD, and debugging
- US citizenship and eligibility and willingness to obtain and maintain a Secret US security clearance
Benefits
- Medical, dental, and vision insurance
- Optional life, long-term disability, accident, and hospital indemnity coverage
- HSA and FSA plans, including dependent care FSA
- 401(k) retirement plan
- Unlimited paid time off
- Paid parental leave
- Equity grants
- Cash bonuses
- Fully remote work, with hybrid or on-site options available
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