Senior Machine Learning Engineer

🕒 October 5

🤠 Texas – Remote

🤠 Texas – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Striveworks

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

Striveworks is a company that specializes in machine learning operations (MLOps), providing a platform known as Chariot that enables organizations to build, deploy, monitor, and audit machine learning models quickly and efficiently. The company focuses on democratizing data-driven decisions by making its tools accessible to non-experts. Its solutions include computer vision, natural language processing, and generative AI, with an emphasis on data and model auditability, governance, and operationalization. Striveworks serves a variety of sectors, including physical security, national security, logistics, cybersecurity, healthcare, and finance, by offering flexible deployment options and achieving rapid return on investment (ROI) with machine learning applications.

📋 Description

• Develop machine learning solutions for customer-driven projects and company products • Orchestrate complex data and agentic workflows • Help shape the capabilities of Chariot, Striveworks’ proprietary AI operations platform • Work across models, agents, tools, and workflows to build reliable and effective AI systems • Analyze and improve AI system performance and usability • Collaborate directly with customers, data scientists, software engineers, and DevOps engineers • Inform platform improvements and expand company capabilities • Support mission-critical deployments through direct customer contact • Travel up to 20% of the time

🎯 Requirements

• A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience • Demonstrated experience delivering data-centric systems, including data engineering, data cleaning, ETL pipelines, machine learning, and production analytics • Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows • Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources • Experience developing evaluation approaches and frameworks to measure agent performance, reliability, and safety • Familiarity with retrieval-augmented generation (RAG), tool use, planning, and multi-agent architectures • Proficiency in machine learning programming languages and libraries; excellence in Python is essential, with knowledge of TensorFlow, PyTorch, and/or scikit-learn • Strong software engineering fundamentals, including algorithms, data structures, and design patterns • Proficiency in at least one systems programming language, such as Go, Rust, C++, Java, or Scala • Proficiency with modern software engineering tools and processes, including Agile, version control, issue tracking, CI/CD, and debugging • US citizenship with eligibility and willingness to obtain and maintain a Secret US security clearance

🏖️ 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 • Equity grants • Cash bonuses • Fully remote work environment or hybrid/on-site work option