Senior Machine Learning Engineer

Striveworks

. Develop machine learning solutions for customer-driven projects and company products .

Posted 10/5/2026full-timeRemote • Texas • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing machine learning solutions and optimizing AI systems, with a strong foundation in data engineering and software engineering principles. Proficient in integrating AI systems with external tools and APIs while ensuring performance and reliability.

Highest-signal resume keywords

Machine Learning Programming LanguagesData EngineeringLLM-Powered Agents DevelopmentAI System IntegrationSoftware Engineering Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData CleaningETL PipelinesPythonTensorFlowPyTorchC++JavaAgileCI/CD

Tools & Technologies

APIsMCP ServersVersion ControlIssue TrackingDebugging

Certifications & Qualifications

BS Degree in Computer ScienceSecret US Security Clearance

Industry Keywords

AI OperationsData-Centric SystemsAgentic WorkflowsRetrieval-Augmented GenerationMulti-Agent Architectures

Tech Stack

Tools & technologies

ETLJavaPythonPyTorchRustScalaScikit-LearnTensorflowC++Go

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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