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About AZXOur 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 (LevelTen 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 RoleWe 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 doYou 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 deploymentCollaborate with client and internal project teamsDesign and write clean, scalable code at appropriate quality standards (sometimes “right”, and sometimes “right now”).Design, integrate, and productionize 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 solutionsAdvocate for engineering best practices and positive dev cultureCore Qualifications - Technical and foundational5+ years building and deploying ML systems in production environmentsExpert-level Python and experience with PyTorch / TensorFlowDeep expertise in at least one domain: NLP, Computer Vision, Time-Series, or Reinforcement LearningGenerative AI and LLM-related capabilities (e.g., prompt engineering, RAG, fine-tuning, LangChain, 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 monitoringTrack record of translating ambiguous business problems into production ML solutionsExperience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)Champion for quality (model validation, reproducibility, monitoring, bias/variance checks)Values and Culture QualificationsHigh emotional intelligence and a learning mindsetStrong collaboration skillsEnjoy others' success and a fun, positive environment.Comfortable making decisions in the face of ambiguity and course correcting as needed.Bonus Qualifications (not required but a huge plus)Experience in both startup and enterprise environmentsPast work in energy, real estate, utilities, climate, or related fieldsBonus if you have experience and passion in one or more ofAdvanced ML/AI frameworks and techniques (e.g., PyTorch Lightning, JAX, HuggingFace, ONNX optimizations)Lower-level or performance-focused languages for ML acceleration (e.g., C++, Rust, CUDA)Large-scale data and distributed training paradigms (e.g., Spark, Ray, Horovod, Dask)Advanced data infrastructure (e.g., vector/graph databases, feature stores, data lakes)Compensation & benefitsCompetitive early-stage startup compensation (based on capabilities, experience, and location)Bonus eligibilityHealth insurance with meaningful coverage for dependentsFlexible paid time offEquityFully remote culture with a cluster of teammates in SeattleTraining and learning opportunitiesBe part of a fast-growing, profitable, mission-driven company with industry-leading clients tackling the massive opportunity of AI transformation in critical industries.LogisticsRemote, but only USA/CanadaMust be willing to travel to the Seattle area for the final interview and travel 2x/year for company summitsAdditionally, depending on location, candidates can expect to spend 10-20% of their time working onsite with clients.Applicants must be currently authorized to work in the United States on a full-time basis.We are currently unable to sponsor or take over sponsorship of employment visas.Next stepsIf this job sounds like a great fit, we’d love to hear from you. If you feel aligned with the company but don’t check ALL of these boxes, we’d still love to hear from you!
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