{"schemaVersion":"jobsearcher.job.v1","id":"9cc491666241998d4cfaeebf","url":"https://jobsearcher.com/jobs/9cc491666241998d4cfaeebf","canonicalUrl":"https://jobsearcher.com/jobs/9cc491666241998d4cfaeebf","title":"Software Engineering Lead, Machine Learning","description":"Who we are\r\nEma is building the next generationAItechnology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, theAIemployee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).\r\nOur team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week.Who you are\r\nWe're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You will:\r\nConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.\r\nImplement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of ourAIsystems.\r\nLeadthe processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.\r\nWork across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.\r\nImplement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.\r\nClearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Ideally, you'd have:\r\nA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.\r\nProven industry experience in building and deploying production-level machine learning models.\r\nDeep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.\r\nDeep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.\r\nProficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.\r\nExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.\r\nExperience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.\r\nFamiliarity with cloud platforms like GCP or Azure.\r\nFamiliarity with the latest industry and academic trends in machine learning andAI , and the ability to apply this knowledge to practical projects.\r\nGood understanding of software development principles, data structures, and algorithms.\r\nExcellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.\r\nThe ability to work collaboratively in an extremely fast-paced, startup environment.For California based candidates:\r\nThe standard base salary for this position is $135,000-$300,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.","company":"Ema","rawCompany":"ema","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-08T01:35:43.868Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Lead, Machine Learning","description":"Who we are\r\nEma is building the next generationAItechnology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, theAIemployee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).\r\nOur team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week.Who you are\r\nWe're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.You will:\r\nConceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.\r\nImplement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of ourAIsystems.\r\nLeadthe processing and analysis of large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.\r\nWork across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.\r\nImplement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.\r\nClearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.Ideally, you'd have:\r\nA Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.\r\nProven industry experience in building and deploying production-level machine learning models.\r\nDeep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.\r\nDeep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.\r\nProficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.\r\nExcellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.\r\nExperience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.\r\nFamiliarity with cloud platforms like GCP or Azure.\r\nFamiliarity with the latest industry and academic trends in machine learning andAI , and the ability to apply this knowledge to practical projects.\r\nGood understanding of software development principles, data structures, and algorithms.\r\nExcellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.\r\nThe ability to work collaboratively in an extremely fast-paced, startup environment.For California based candidates:\r\nThe standard base salary for this position is $135,000-$300,000 annually.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.","datePosted":"2026-05-08T01:35:43.868Z","dateModified":"2026-05-08T01:35:43.868Z","hiringOrganization":{"@type":"Organization","name":"Ema","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9cc491666241998d4cfaeebf"},"url":"https://jobsearcher.com/jobs/9cc491666241998d4cfaeebf"}}