X, The Moonshot Factory
Machine Learning Lead Engineer, Early Stage Supply Chain Project
X, The Moonshot Factory, Mountain View, California, us, 94039
Machine Learning Lead Engineer, Early Stage Supply Chain Project
Join to apply for the Machine Learning Lead Engineer, Early Stage Supply Chain Project role at X, The Moonshot Factory. About The Team
We’re X’s moonshot for the global supply chain, applying AI to reduce waste, fragility, and inefficiency. We’re an agile team of experienced AI researchers, software engineers, and entrepreneurs working with visionary partners and customers around the world to make sure everyone has sustainable and reliable access to the food, medicine, clothing, and other goods and services they need. About The Role
You’ll play a pivotal role in designing, architecting, building, and deploying cutting-edge AI systems. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting-edge AI research and real-world enterprise applications. How You Will Have 10X Impact
Develop and deliver high-quality, production-grade AI enterprise software, from ideation and architectural design to development, testing, deployment, and ongoing maintenance in complex enterprise environments Help drive and execute key decisions on software architecture and features Develop experiences that inspire confidence, delight and resonate with end users, and encourage adoption and trust Enhance AI reasoning by innovating on how Foundation Models are utilized, improving internal workflows, and developing/integrating specialized tools Explore, apply, and innovate state-of-the-art LLM and machine learning techniques Lead and mentor technical initiatives: Guide project execution, provide technical leadership, and cultivate a strong, high-performing team Ensure responsible AI development: Implement robust safety principles, including sandboxing and traceability of self-modifications, to mitigate risks and ensure alignment with business objectives and ethical guidelines What You Should Have
MS/PhD degree or equivalent practical experience in machine learning, computer science, or a related quantitative field 7+ years of professional experience designing, developing, maintaining, and releasing production-grade enterprise/business software Proficiency in Python development, with experience in the latest Python toolchains and frameworks, including developing for various platforms (e.g., full-stack web applications, backend services, data pipelines) Experience integrating AI into enterprise software environments, including Large Language Models (LLMs), Foundation Models, multi-agent system architectures and their orchestration agentic behaviors, tool use, and reasoning capabilities Experience with collaborative software development workflows and platforms including GitHub, agile development/scrum, unit testing, CI/CD, and production operations Experience using LLMs to optimize software development processes and workflows Experience integrating AI into enterprise software environments including LLMs and Foundation Models, agentic behaviors, tool use, and reasoning capabilities Experience integrating software with complex enterprise legacy systems, including ERP integration (e.g., SAP, Oracle) Experience with deploying and managing applications on major cloud platforms (e.g., Google Cloud Platform, AWS, Azure) and an understanding of underlying infrastructure primitives (e.g., Kubernetes, Terraform) Proven experience in a leadership, mentorship, or lead engineer role for small technical teams, with a track record of owning outcomes end-to-end and getting the job done Excellent written and verbal communication skills, adept at explaining complex technical concepts to both technical and non-technical audiences in a clear and concise manner Exceptional organization and planning skills Ability to think both strategically and tactically about driving complex initiatives to completion Ability to thrive and execute quickly in an environment of change and uncertainty It’d Be Great If You Also Had These
Experience in startups or small-team environments Research papers or other public-facing documents or presentations that demonstrate technical thought leadership Compensation
The US base salary range for this full-time position is $248,000 - $330,000 + bonus + equity + benefits. 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, equity, or benefits. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Research Referrals increase your chances of interviewing at X, The Moonshot Factory
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Join to apply for the Machine Learning Lead Engineer, Early Stage Supply Chain Project role at X, The Moonshot Factory. About The Team
We’re X’s moonshot for the global supply chain, applying AI to reduce waste, fragility, and inefficiency. We’re an agile team of experienced AI researchers, software engineers, and entrepreneurs working with visionary partners and customers around the world to make sure everyone has sustainable and reliable access to the food, medicine, clothing, and other goods and services they need. About The Role
You’ll play a pivotal role in designing, architecting, building, and deploying cutting-edge AI systems. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions. While you will primarily focus on core product development, you will also serve as a critical bridge between cutting-edge AI research and real-world enterprise applications. How You Will Have 10X Impact
Develop and deliver high-quality, production-grade AI enterprise software, from ideation and architectural design to development, testing, deployment, and ongoing maintenance in complex enterprise environments Help drive and execute key decisions on software architecture and features Develop experiences that inspire confidence, delight and resonate with end users, and encourage adoption and trust Enhance AI reasoning by innovating on how Foundation Models are utilized, improving internal workflows, and developing/integrating specialized tools Explore, apply, and innovate state-of-the-art LLM and machine learning techniques Lead and mentor technical initiatives: Guide project execution, provide technical leadership, and cultivate a strong, high-performing team Ensure responsible AI development: Implement robust safety principles, including sandboxing and traceability of self-modifications, to mitigate risks and ensure alignment with business objectives and ethical guidelines What You Should Have
MS/PhD degree or equivalent practical experience in machine learning, computer science, or a related quantitative field 7+ years of professional experience designing, developing, maintaining, and releasing production-grade enterprise/business software Proficiency in Python development, with experience in the latest Python toolchains and frameworks, including developing for various platforms (e.g., full-stack web applications, backend services, data pipelines) Experience integrating AI into enterprise software environments, including Large Language Models (LLMs), Foundation Models, multi-agent system architectures and their orchestration agentic behaviors, tool use, and reasoning capabilities Experience with collaborative software development workflows and platforms including GitHub, agile development/scrum, unit testing, CI/CD, and production operations Experience using LLMs to optimize software development processes and workflows Experience integrating AI into enterprise software environments including LLMs and Foundation Models, agentic behaviors, tool use, and reasoning capabilities Experience integrating software with complex enterprise legacy systems, including ERP integration (e.g., SAP, Oracle) Experience with deploying and managing applications on major cloud platforms (e.g., Google Cloud Platform, AWS, Azure) and an understanding of underlying infrastructure primitives (e.g., Kubernetes, Terraform) Proven experience in a leadership, mentorship, or lead engineer role for small technical teams, with a track record of owning outcomes end-to-end and getting the job done Excellent written and verbal communication skills, adept at explaining complex technical concepts to both technical and non-technical audiences in a clear and concise manner Exceptional organization and planning skills Ability to think both strategically and tactically about driving complex initiatives to completion Ability to thrive and execute quickly in an environment of change and uncertainty It’d Be Great If You Also Had These
Experience in startups or small-team environments Research papers or other public-facing documents or presentations that demonstrate technical thought leadership Compensation
The US base salary range for this full-time position is $248,000 - $330,000 + bonus + equity + benefits. 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, equity, or benefits. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries Research Referrals increase your chances of interviewing at X, The Moonshot Factory
#J-18808-Ljbffr