{"schemaVersion":"jobsearcher.job.v1","id":"3ce8f39f71bf38241b0a3b27","url":"https://jobsearcher.com/jobs/3ce8f39f71bf38241b0a3b27","canonicalUrl":"https://jobsearcher.com/jobs/3ce8f39f71bf38241b0a3b27","title":"Software Engineer, Machine Learning","description":"LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.\r\nJoin us to transform the way the world works.\r\nJob Description Hiring Team Description\r\nThe Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn. By integrating human annotation with automated evaluation pipelines, the team enables rapid, reliable assessments of AI products across domains like hiring, feed relevance, and trust. Their platform, the Auto-Eval Playground, empowers product teams to orchestrate evaluations, fine-tune prompts, and benchmark model performance with minimal overhead.\r\nJob Description\r\nThis role will be based in Sunnyvale, San Francisco, or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.\r\nLinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.\r\nResponsibilities\r\nBuilding and deploying relevance models that power our various recommender systems and personalized intent engines\r\nKeeping scalability and performance in mind through your design and engineering choices.\r\nYou will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.\r\nYou will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.\r\nYou will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.\r\nQualifications Basic Qualifications\r\nBachelor's degree in Computer Science or related technical field or equivalent technical experience\r\n1+ years experience with machine learning, data mining, and information retrieval or natural language processing\r\n1+ year of industry experience in software design, development, and algorithm related solutions.\r\n1+ years experience in programming languages such as Java, Python, etc.\r\nPreferred Qualifications\r\n1+ years of relevant work experience\r\nMS or PhD in Computer Science or related technical discipline\r\nKnowledge of recommendation systems\r\nAbility to diagnose technical problems, debug code, and automate routine tasks\r\nAnalytical approach coupled with solid communication skills and a sense of ownership\r\nSuggested Skills\r\nData Mining\r\nData Coding\r\nYou will Benefit from our Culture\r\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000 – $189,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.\r\nAdditional Information Equal Opportunity Statement\r\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.\r\nLinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.\r\nIf you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.\r\nReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:\r\nDocuments in alternate formats or read aloud to you\r\nHaving interviews in an accessible location\r\nBeing accompanied by a service dog\r\nHaving a sign language interpreter present for the interview\r\nA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.\r\nLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\r\nSan Francisco Fair Chance Ordinance\r\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\r\nPay Transparency Policy Statement\r\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\r\nGlobal Data Privacy Notice for Job Candidates\r\nPlease follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.\r\nJ-18808-Ljbffr","company":"LinkedIn","rawCompany":"linkedin","city":"Sunnyvale","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:19:15.406Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Machine Learning","description":"LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.\r\nJoin us to transform the way the world works.\r\nJob Description Hiring Team Description\r\nThe Auto Eval team is pioneering scalable, high-fidelity evaluation frameworks for AI systems at LinkedIn. By integrating human annotation with automated evaluation pipelines, the team enables rapid, reliable assessments of AI products across domains like hiring, feed relevance, and trust. Their platform, the Auto-Eval Playground, empowers product teams to orchestrate evaluations, fine-tune prompts, and benchmark model performance with minimal overhead.\r\nJob Description\r\nThis role will be based in Sunnyvale, San Francisco, or New York City. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.\r\nLinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.\r\nResponsibilities\r\nBuilding and deploying relevance models that power our various recommender systems and personalized intent engines\r\nKeeping scalability and performance in mind through your design and engineering choices.\r\nYou will explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.\r\nYou will work with big data and analyze tracking data to understand member preferences and identify opportunities for taking the products you work on to the next level.\r\nYou will work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.\r\nQualifications Basic Qualifications\r\nBachelor's degree in Computer Science or related technical field or equivalent technical experience\r\n1+ years experience with machine learning, data mining, and information retrieval or natural language processing\r\n1+ year of industry experience in software design, development, and algorithm related solutions.\r\n1+ years experience in programming languages such as Java, Python, etc.\r\nPreferred Qualifications\r\n1+ years of relevant work experience\r\nMS or PhD in Computer Science or related technical discipline\r\nKnowledge of recommendation systems\r\nAbility to diagnose technical problems, debug code, and automate routine tasks\r\nAnalytical approach coupled with solid communication skills and a sense of ownership\r\nSuggested Skills\r\nData Mining\r\nData Coding\r\nYou will Benefit from our Culture\r\nWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $114,000 – $189,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.\r\nAdditional Information Equal Opportunity Statement\r\nWe seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.\r\nLinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.\r\nIf you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.\r\nReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:\r\nDocuments in alternate formats or read aloud to you\r\nHaving interviews in an accessible location\r\nBeing accompanied by a service dog\r\nHaving a sign language interpreter present for the interview\r\nA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.\r\nLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.\r\nSan Francisco Fair Chance Ordinance\r\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\r\nPay Transparency Policy Statement\r\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\r\nGlobal Data Privacy Notice for Job Candidates\r\nPlease follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T09:19:15.406Z","dateModified":"2026-04-09T09:19:15.406Z","hiringOrganization":{"@type":"Organization","name":"LinkedIn","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3ce8f39f71bf38241b0a3b27"},"url":"https://jobsearcher.com/jobs/3ce8f39f71bf38241b0a3b27"}}