ML Engineer; Senior

Location

Seattle

Full time

Remote

Engineering

November 30, 2025 at 12:00 AM EST

• Range DOE $140K – $220K
  • Offers Equity
  • Offers Bonus

We offer competitive early-stage startup compensation based on your capabilities, experience, and location

Machine Learning Engineer (Senior)

About AZX

Our mission is to accelerate positive impact in critical industries through AI transformation. We specialize in physics-informed ML and enterprise AI solutions that directly address climate and sustainability challenges.

We’re growing quickly and already work with category-leaders in real estate (CBRE), energy (Level Ten Energy), logistics (Flexe) and utilities (Puget Sound Energy).

We’re a public benefit corporation, founded in 2024, and have been profitable from the beginning (bootstrapped with consulting).

We work on challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We’re building our company for long-term success and aim to create the ultimate place to work for those passionate about AI and making a positive impact.

About the Role

We seek a Machine Learning (ML) Software Engineer to help us deliver for our clients and invest in our platform. You’ll be one of the first full-time ML engineers and will have an enormous impact on all aspects of what we do.

You'll join a company founded by experienced, successful veterans in climate and AI. The team brings exceptional expertise from Microsoft, AI2, ARM, acquired startups, and even a major utility, including PhDs, published ML researchers, and former industry executives.

The role is initially 70% client delivery and 30% platform development, shifting to 50/50 over the first year.

Some of our client projects are enterprise-style, and some are fast innovation cycles. Over time, we’ll be investing more in our own platform to accelerate client value.

What you will do

You will work on AI projects in client engagements and, over time, internal platform capabilities.

• Turn ambiguous client problems into shipping code.
• Drive projects from discovery to deployment
• Collaborate with client and internal project teams
• Design and write clean, scalable code at appropriate quality standards (sometimes “right”, and sometimes “right now”).
• Design, integrate, and product ionize ML solutions including predictive models, GenAI systems, physics-informed ML, and digital twins.
• Collaborate with domain experts in energy, real estate, and climate to translate business needs into ML solutions
• Advocate for engineering best practices and positive dev culture

• 5+ years building and deploying ML systems in production environments
• Expert-level Python and experience with PyTorch / Tensor Flow
• Deep expertise in at least one domain: NLP, Computer Vision, Time-Series, or Reinforcement Learning
• Generative AI and LLM-related capabilities (e.g., prompt engineering, RAG, fine-tuning, Lang Chain, model evaluation tooling)
• MLOps and infrastructure automation (e.g., CI/CD for ML, Docker, Kubernetes, Terraform, MLflow, Kubeflow)
• Strong engineering fundamentals: system design, scalability, testing, and monitoring
• Track record of translating ambiguous business problems into production ML solutions
• Experience with cloud ML platforms (AWS Sage Maker, GCP Vertex AI, or Azure ML)
• Champion for quality (model validation, reproducibility, monitoring, bias/variance checks)

• High emotional intelligence and a learning mindset
• Strong collaboration skills
• Enjoy others' success and a fun, positive environment.
• Comfortable making decisions in the face of ambiguity and course correcting as needed.

• Experience in both startup and enterprise environments
• Past work in energy, real estate, utilities, climate, or related fields
• Bonus if you have experience and passion in one or more of
• Advanced ML/AI frameworks and techniques (e.g., PyTorch Lightning, JAX, Hugging Face, ONNX optimizations)
• Lower-level or performance-focused languages for ML acceleration (e.g., C++, Rust, CUDA)
• Large-scale data and distributed…