X Development, LLC
Machine Learning Engineer, Early Stage Project
X Development, LLC, Mountain View, California, us, 94039
R e s e a r c h E n g i n e e r , A p p l i e d A I / M L - E a r l y S t a g e P r o j e c t Software Engineering Mountain View, CA (HQ)
The following information aims to provide potential candidates with a better understanding of the requirements for this role. About X: X is Alphabet’s moonshot factory with a mission of inventing and launching “moonshot” technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses. About the team: We're a small, passionate and driven team of experienced ML researchers, software engineers and product managers on a mission to make the practice of law radically more efficient and accurate. Our project is focusing on de-risking our technology, refining our tech prototypes, running experiments with partners and developing a product prototype and business plans. Our culture is one of mutual care & respect, individual competence and most important of all, fun! About the role: As a Research Engineer on our team, you will be at the heart of our mission, focused on pioneering novel approaches for our LLM-based systems. You will design and run experiments, exercising sound judgment to make quick, tangible progress in an applied research setting. You will tackle modeling challenges through a variety of methods, from sophisticated prompt engineering and combining LLMs with other techniques like graph ML, to implementing post-training strategies such as fine-tuning and distillation. You will be responsible for translating your breakthroughs into production-grade code and owning the end-to-end MLOps cycle to ensure your innovations are robust and scalable. How you will make 10X Impact:
Explore, apply, and innovate state-of-the-art LLM & machine learning techniques to solve real-world problems Design and implement ML workflows, such as batch inference, agentic processes, active learning, fine tuning and data labeling 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 What you should have:
Masters/PhD in Computer Science, or equivalent research experience Experience using semantic embeddings in retrieval or clustering problems Experience applying LLMs, particularly with techniques like RAG or knowledge graphs Experience translating research concepts or novel techniques into robust, production-ready systems Proficiency in MLOps, including model deployment, versioning and performance monitoring in production environments Ability to innovate ways to improve model accuracy and quantify drift, overfitting and regression Experience with deep learning frameworks like PyTorch, Tensorflow, JAX Experience optimizing system/model performance (e.g. speed, cost, throughput) Strong proficiency in Python and software engineering best practices (testing, designing architectures, version control, etc) Excellent written and verbal communication skills It’d be great if you had these:
Experience applying LLMs for large scale document processing, including tasks like annotation, entity extraction, etc. Experience designing agentic workflows or multi-step reasoning systems Experience with advanced model optimization techniques such as quantization or distillation Experience in Google Cloud Platform and Vertex AI Consistent track record of delivering high quality solutions to large, complex software problems Experience working in start-up like environments The US base salary range for this full-time position is $136,000 - $185,000 + bonus + equity + 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. This position is located in Mountain View, CA. Are you able to commute to the office and/or are you willing to relocate? Application consent for X By clicking the “I Accept” button you expressly give your consent for the collection and use of your information as described at https://www.google.com/about/careers/privacy/ . I consent to the processing of my information as described in that policy including that, in limited circumstances, my information may be shared with trusted third parties to assist in certain phases of the hiring process (such as conducting background checks). PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in X, the moonshot factory’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Race Decline To Self Identify Two or More Races Native Hawaiian or Other Pacific Islander White Hispanic or Latino Black or African American Asian American Indian or Alaskan Native
#J-18808-Ljbffr
The following information aims to provide potential candidates with a better understanding of the requirements for this role. About X: X is Alphabet’s moonshot factory with a mission of inventing and launching “moonshot” technologies that could someday make the world a radically better place. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. As an innovation engine, X focuses on repeatedly turning breakthrough-technology ideas into the foundations for large, sustainable businesses. About the team: We're a small, passionate and driven team of experienced ML researchers, software engineers and product managers on a mission to make the practice of law radically more efficient and accurate. Our project is focusing on de-risking our technology, refining our tech prototypes, running experiments with partners and developing a product prototype and business plans. Our culture is one of mutual care & respect, individual competence and most important of all, fun! About the role: As a Research Engineer on our team, you will be at the heart of our mission, focused on pioneering novel approaches for our LLM-based systems. You will design and run experiments, exercising sound judgment to make quick, tangible progress in an applied research setting. You will tackle modeling challenges through a variety of methods, from sophisticated prompt engineering and combining LLMs with other techniques like graph ML, to implementing post-training strategies such as fine-tuning and distillation. You will be responsible for translating your breakthroughs into production-grade code and owning the end-to-end MLOps cycle to ensure your innovations are robust and scalable. How you will make 10X Impact:
Explore, apply, and innovate state-of-the-art LLM & machine learning techniques to solve real-world problems Design and implement ML workflows, such as batch inference, agentic processes, active learning, fine tuning and data labeling 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 What you should have:
Masters/PhD in Computer Science, or equivalent research experience Experience using semantic embeddings in retrieval or clustering problems Experience applying LLMs, particularly with techniques like RAG or knowledge graphs Experience translating research concepts or novel techniques into robust, production-ready systems Proficiency in MLOps, including model deployment, versioning and performance monitoring in production environments Ability to innovate ways to improve model accuracy and quantify drift, overfitting and regression Experience with deep learning frameworks like PyTorch, Tensorflow, JAX Experience optimizing system/model performance (e.g. speed, cost, throughput) Strong proficiency in Python and software engineering best practices (testing, designing architectures, version control, etc) Excellent written and verbal communication skills It’d be great if you had these:
Experience applying LLMs for large scale document processing, including tasks like annotation, entity extraction, etc. Experience designing agentic workflows or multi-step reasoning systems Experience with advanced model optimization techniques such as quantization or distillation Experience in Google Cloud Platform and Vertex AI Consistent track record of delivering high quality solutions to large, complex software problems Experience working in start-up like environments The US base salary range for this full-time position is $136,000 - $185,000 + bonus + equity + 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. This position is located in Mountain View, CA. Are you able to commute to the office and/or are you willing to relocate? Application consent for X By clicking the “I Accept” button you expressly give your consent for the collection and use of your information as described at https://www.google.com/about/careers/privacy/ . I consent to the processing of my information as described in that policy including that, in limited circumstances, my information may be shared with trusted third parties to assist in certain phases of the hiring process (such as conducting background checks). PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in X, the moonshot factory’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Race Decline To Self Identify Two or More Races Native Hawaiian or Other Pacific Islander White Hispanic or Latino Black or African American Asian American Indian or Alaskan Native
#J-18808-Ljbffr