{"id":2542627,"url":"https://alion.io/job/linkedin-distinguished-software-engineer-machine-learning-growth","title":"Distinguished Software Engineer, Machine Learning (Growth)","company":{"id":13163,"name":"LinkedIn","domain":"linkedin.com","url":"https://alion.io/company/linkedin","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":248000,"max":406000,"currency":"USD","period":"year","gross":null,"usd_annual":406000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Machine Learning","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-05-05T15:47:12Z","employer_posted_date":"2026-05-05","last_verified_at":"2026-10-15T06:42:06Z","board_verified":true,"closed_at":null,"days_open":162,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":162},"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.\nJoin us to transform the way the world works.\n 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.\nTechnology leaders collaborate, maintain balance, commit and achieve results - all while upholding immense pride in their quality of work. Our leaders value their craft and inspire their team to do the same. They balance product and technology strategy to put members first. They are responsible for attracting, retaining, engaging and developing their teams while also leading and inspiring them to achieve the goals of LinkedIn. Engineering leaders are champions of LinkedIn to their coworkers, their networks and the tech community.\nAs a Distinguished Engineer at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn’s growth ecosystem - from PYMK to Notifications to Agentic Onboarding - by employing the developing state of the art technologies - from reinforcement learning to generative AI and large models. You will develop strategies to drive user retention throughout the user lifecycle across LinkedIn’s consumer ecosystem, helping accelerate LinkedIn’s vision as a leader within the Growth team.\nResponsibilities:\nHelp define business strategy and technical strategy and drive alignment cross functionally.\n\nHead cross team/cross functional discussions and drive alignment on product/technology strategy.\n\nHelp build highly scalable systems and applications to enable the organization to achieve its goals.\n\nActively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.\n\nDefine the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.\n\nEstablish a culture that values diverse viewpoints while navigating complex decisions.\n\n Basic Qualifications:\nBachelor's degree in Computer Science or a related field, or equivalent experience\n\n10+ years of relevant work experience\n\nExperience leading technical projects with multiple stakeholders\n\nPreferred Qualifications:\nPhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience\n\n10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical leadership position\n\nExperience in designing and optimizing recommender systems that create highly personalized experiences for LinkedIn’s members and scale to solve complex business problems\n\nExperience in leading large scale development projects from concept to multiple releases in production\n\nExperience of technical leadership guiding and mentoring engineering and operations talent\n\nExperience leading high-impact, cross-company initiatives\n\nDream big. Make big, bold moves to define and build the next generation of products\n\nSuggested Skills:\nMentorship\n\nTechnical Leadership\n\nMachine Learning\n\nYou will Benefit from our Culture:\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.\nLinkedIn is committed to fair and equitable compensation practices.\nThe pay range for this role is $248,000 to $406,000. 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.\nThe 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.\n Equal Opportunity Statement\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.\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.\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  and describe the specific accommodation requested for a disability-related limitation.\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:\nDocuments in alternate formats or read aloud to you\nHaving interviews in an accessible location\nBeing accompanied by a service dog\nHaving a sign language interpreter present for the interview\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.\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.\nSan Francisco Fair Chance Ordinance\nPursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.\nPay Transparency Policy Statement\nAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.\nGlobal Data Privacy Notice for Job Candidates\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.","description_format":"text","description_chars":7496,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-learning","Job Boards & Aggregators","Professional Networks"],"lifecycle":[{"event":"open","at":"2026-10-14T15:58:32Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.261,"p_room":0.28,"age_days":162,"expected_fill_days":20,"reasons":["conf:3","win:tail","crowd:brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":406000,"is_top_pay":true},"html_url":"https://alion.io/job/linkedin-distinguished-software-engineer-machine-learning-growth","json_url":"https://alion.io/job/linkedin-distinguished-software-engineer-machine-learning-growth.json","meta":{"generated_at":"2026-10-15T07:05:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10673,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13163},"rest":"https://alion.io/mcp/rest/get_company?id=13163"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flinkedin-distinguished-software-engineer-machine-learning-growth"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flinkedin-distinguished-software-engineer-machine-learning-growth"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flinkedin-distinguished-software-engineer-machine-learning-growth"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/linkedin-distinguished-software-engineer-machine-learning-growth\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flinkedin-distinguished-software-engineer-machine-learning-growth"}]}