Evolution USA
AI/ML Engineer - Build Core Intelligence for a New Class of Enterprise AI Produc
Evolution USA, San Francisco, California, United States, 94199
AI/ML Engineer - Build Core Intelligence for a New Class of Enterprise AI Products
This range is provided by Evolution USA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $175,000.00/yr - $250,000.00/yr
Additional compensation types Stock options
Direct message the job poster from Evolution USA
Our client Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.
They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here.
What You’ll Work On
Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment
Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights
Transforming research concepts into scalable production systems used by enterprise customers
Architecting efficient, privacy-conscious model-serving infrastructure
Collaborating across engineering, product, and research to rapidly experiment and iterate
Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter
Who Thrives Here
Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)
Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems
Candidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML/AI features
People who enjoy working in ambiguous, zero-to-one environments and want significant ownership
Curious thinkers who care about model performance, reliability, and how their work impacts real users
Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale
Why This Role Is Compelling
You’ll build foundational AI systems at a moment where the company is scaling quickly
Your work will directly shape how customers interact with and benefit from AI
You’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinking
You’ll have room to experiment, influence architecture, and meaningfully impact technical direction
You’ll join early enough to feel the upside, but after core customer traction is already proven
What's On Offer
A high-ownership engineering role with scope to grow into senior or staff pathways
A culture that balances speed with thoughtful engineering
Mission-driven work with clear real-world utility
Competitive compensation, strong equity, and flexibility in how you build
If you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Industries Software Development
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Base pay range $175,000.00/yr - $250,000.00/yr
Additional compensation types Stock options
Direct message the job poster from Evolution USA
Our client Our client is a well-funded, product-focused AI startup building next-generation systems that help organizations capture, organize, and leverage their internal knowledge at scale. Their platform blends modern machine learning, intelligent data pipelines, and context-aware models to make teams more effective, faster, and dramatically more aligned.
They're growing quickly and looking for engineers with strong CS fundamentals and a passion for building ML systems that operate in the real world, not just in research settings. If you’re energized by early-stage ownership and solving hard problems that matter, you’ll thrive here.
What You’ll Work On
Designing and shipping ML components end-to-end: training pipelines, data ingestion, evaluation, optimization, and deployment
Building models and services that learn from unstructured signals (text, docs, conversations, workflows) and surface actionable insights
Transforming research concepts into scalable production systems used by enterprise customers
Architecting efficient, privacy-conscious model-serving infrastructure
Collaborating across engineering, product, and research to rapidly experiment and iterate
Owning technical decisions in a fast-paced environment where craftsmanship and velocity both matter
Who Thrives Here
Engineers with strong computer science foundations (algorithms, systems, distributed computing, data structures)
Builders with experience in ML frameworks (PyTorch, TensorFlow, JAX) and modern backend systems
Candidates coming from top CS programs or AI-first startups where they’ve shipped real, user-facing ML/AI features
People who enjoy working in ambiguous, zero-to-one environments and want significant ownership
Curious thinkers who care about model performance, reliability, and how their work impacts real users
Bonus skills (not required): experience with LLMs, embeddings, personalization models, agentic workflows, or model evaluation at scale
Why This Role Is Compelling
You’ll build foundational AI systems at a moment where the company is scaling quickly
Your work will directly shape how customers interact with and benefit from AI
You’ll partner closely with experienced founders and senior engineers who value autonomy and deep thinking
You’ll have room to experiment, influence architecture, and meaningfully impact technical direction
You’ll join early enough to feel the upside, but after core customer traction is already proven
What's On Offer
A high-ownership engineering role with scope to grow into senior or staff pathways
A culture that balances speed with thoughtful engineering
Mission-driven work with clear real-world utility
Competitive compensation, strong equity, and flexibility in how you build
If you’re excited by the idea of building intelligent systems that help real teams work smarter, and you want your engineering decisions to matter, we’d love to talk.
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Industries Software Development
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