**M** **a** **c** **h** **i** **n** **e** **L** **e** **a** **r** **n** **i** **n** **g** **E** **n** **g** **i** **n** **e** **e** **r** **(** **L** **L** **M** **)** **,** **T** **a** **p** **e** **s** **t** **r** **y** Software Engineering Mountain View, CA (HQ) **About the team:** Tapestry, is X’s moonshot for the electric grid (https://x.company/blog/posts/why-the-electric-grid-needs-a-moonshot/) . We are a team of software engineers, power systems experts and clean energy geeks who are on a mission to make the world’s electric grid visible so everyone, everywhere can access clean, affordable and reliable energy. We are working with partners around the world to create AI powered tools that will help everyone who works with the grid build and manage a carbon-free and secure electricity system. Currently incubating at X, Alphabet’s innovation lab, we are now building the team that will scale Tapestry for more global impact. We are looking for people who are passionate about revolutionizing the energy sector to join us at this critical growth stage. You’ll have the chance to be part of a rapidly growing team that has the agility and impact of an early stage company, while building on world-class technology created at Alphabet. Learn more about Tapestry here (https://x.company/projects/tapestry/) . **About the role:** As a Machine Learning Engineer at Tapestry, you will be responsible for designing, developing, and deploying machine learning models that solve complex problems related to the electric grid. You will work on various projects, such as utilizing LLMs for document analysis and understanding, building agentic solutions, Retrieval Augmented Generation (RAG) and other state-of-the-art machine learning techniques. You will collaborate closely with cross-functional teams, including data scientists, energy experts, and software engineers, to build scalable and efficient AI-driven solutions. **How you will make 10x impact:** + Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid + Explore and de-risk novel technologies to extract data from unlikely sources + Lead the design and implementation of ML data platforms and service frameworks + Design and implement robust, automated, production-level software using horizontally scalable components + Work effectively with cross-functional teams of engineers, product managers, and domain experts + Provide direction and focus in areas of high ambiguity **Key Responsibilities:** + Design, implement, and deploy machine learning models, with a focus on techniques including large language models (LLMs), agentic applications, Natural Language Processing (NLP) and Retrieval Augmented Generation (RAG). + Explore, apply, and innovate state-of-the-art machine learning techniques to solve real-world problems on the electric grid + Explore and de-risk novel technologies to extract data from unlikely sources + Lead the development of end-to-end machine learning pipelines, including data preprocessing, feature engineering, model selection, and deployment. + Collaborate with teams across engineering, data science, and energy domains to integrate machine learning models into production systems. + Conduct performance tuning, model validation, and continuous improvement to ensure high-quality model outcomes. + Stay current with emerging trends and technologies in machine learning, recommending innovative approaches to address key challenges. **What you should have:** + Bachelors/Masters in Computer Science, or equivalent practical experience + 5-8 years of experience in machine learning, with a proven track record of developing production-level ML models, or a PhD degree in a relevant field with 2+ years of industry experience + 3+ years of experience with Python or Golang, including working with relevant machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. + Strong understanding of machine learning fundamentals and algorithms, including supervised and unsupervised learning, natural language processing, and deep learning. **It'd be great if you had these:** + Experience with building data pipelines (e.g. Beam, Dataflow, Flink, Hadoop, Spark) + Experience in ML modeling using TensorFlow, Pytorch or Jax/Flax + Consistent track record of delivering high quality solutions to large, complex software problems + Experience working in a start-up like environment + Prior Experience working with energy-related data and understanding of clean energy systems (renewable energy, smart grids, etc.) is a nice-to-have but not required + Experience working in a start-up like environment The US base salary range for this full-time position is $160,000 - $220,000 + bonus + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, or benefits. **An Equal Opportunity Workplace** At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .