{"id":874644,"url":"https://alion.io/job/quora-senior-machine-learning-engineer-ads-quora-remote","title":"Senior Machine Learning Engineer, Ads - Quora (Remote)","company":{"id":7826,"name":"Quora","domain":"quora.com","url":"https://alion.io/company/quora","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"PT","utc_offset_min":-8,"utc_offset_max":-8},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":148000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":314},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-09-10T22:26:47Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-15T14:38:06Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"[Quora is a privately held, \"remote-first\" company. This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]\nAbout Quora:\nQuora’s mission is to grow the world's collective intelligence. To do so, we have two platforms:\nQuora: a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.\n\nPoe: a cloud workspace where millions of users run multiple AI agents on shared context and tools. One subscription, every frontier model, and the collaboration layer that makes them work together.\n\nBehind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.\nThis role will be working on our Quora product.\nAbout the Team and Role:\nOur Monetization team works on challenging problems every day. Our Machine Learning Engineers are tasked with optimizing the advertising product at Quora, and the team covers the entire Machine Learning Ads lifecycle from end-to-end, including ads targeting, ranking and auction dynamics, and quality measurement. Ingrained in our culture is the desire to constantly learn and improve, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. As a remote-first company, our engineers have a high degree of flexibility and autonomy, and everyone on the engineering team has a huge impact on our product, revenue and company.\nSince we first launched our advertising platform, we've grown to support thousands of advertisers who are reaching over 300 million+ monthly unique visitors on Quora. Our journey is just beginning as we continue to build new products from the ground up and tackle exciting challenges at scale. We are looking for an experienced Machine Learning Engineer to join the Ads ML team as an ads ranking specialist. You will improve CTR and CVR prediction, model calibration, user and ad representations, and user-sequence modeling, translating improvements in ranking quality into measurable advertiser value, revenue, and better user experiences. This is a small, close-knit team where you own problems end-to-end - research, data, modeling, deployment and maintenance - and where your work has a direct line to the company's top line.\nResponsibilities:\nDevelop and improve ads ranking models, including prediction objectives, feature interactions, user-history modeling, and calibration\n\nTake end to end ownership of machine learning systems - from data pipelines, feature engineering, training-data construction and model evaluation, model training, as well as integration into our production systems\n\nEvaluate and apply advances in deep learning and recommendation modeling to improve ads ranking within production latency, reliability, and cost constraints\n\nCollaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment\n\nPartner with product, data science, and engineering teams to define ranking objectives, design A/B experiments, and measure improvements in advertiser performance, revenue, and user relevance\n\nIdentify new opportunities to apply machine learning to different parts of the Ads product to drive value for our users and advertisers\n\nMinimum Requirements:\nAvailability for meetings and impromptu communication during Quora's “coordination hours \" (Mon-Fri: 9am-3pm Pacific Time)\n\n4+ years of professional software development experience in machine learning\n\nHands-on experience developing and deploying ads ranking models at scale, including CTR or CVR prediction and calibration, with demonstrated ownership of production improvements\n\nExperience evaluating ranking models through offline analysis and online experiments, including investigating discrepancies between model metrics and business outcomes\n\nExperience using AI-assisted development tools for coding, testing, debugging, or data analysis, with sound judgment in validating generated code and conclusions\n\nHands-on experience building and deploying deep learning models with PyTorch or TensorFlow\n\nGood understanding of mathematical foundations of machine learning algorithms\n\nStrong Python programming skills and experience writing maintainable production ML code. proficient coding ability writing Python\n\nBS, MS or PhD in Computer Science, Engineering or a related technical field\n\nPreferred Requirements:\nExperience with modern ranking architectures, such as feature interaction networks, attention-based user-sequence models, and multi-task learning\n\nUnderstanding of how ranking predictions and calibration interact with bidding and auctions to affect ad delivery and advertiser outcomes\n\nExperience with leading large-scale multi-engineer projects\n\nExperience addressing ranking challenges such as sparse or delayed conversion labels, sampling and exposure bias, cold-start users, or training-serving inconsistencies\n\nExperience with generative recommender systems\n\nEffective communicator with strong leadership skills\n\nPassion for Quora's mission and goals\n\nAt Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.\nAdditional Information:\nWe are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.\nQuora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.\nThere are many factors that will determine the starting compensation, including but not limited to experience, location, education, and business needs.\nUS candidates only: For US based applicants, the salary range is $189,507 - $274,604 USD + equity + benefits.\n\nCanada candidates only: For Toronto and Vancouver based applicants, the salary range is $243,330 - $282,076 CAD + equity + benefits. For all other locations in Canada, the salary range is $227,108 - $263,271 CAD + equity + benefits.\n\nIn equity-eligible countries, we currently also offer a flexible equity program where a portion of equity compensation may be taken as cash.\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nAI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.\nTo ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.\nJob Applicant Privacy Notice: https://careers.quora.com/quora-global-job-applicant-privacy-notice\n#LI-JC1\n#LI-REMOTE","description_format":"text","description_chars":7614,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Q&A & Knowledge Platforms"],"lifecycle":[{"event":"open","at":"2026-09-13T19:31:41Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 11 · green card filings: 5","filings_12m":11,"filings_prev_12m":23,"green_card_filings_12m":5,"median_offered_wage_usd":185938,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":9}],"liveness":{"score":65,"band":"ok","label":"Likely open","p_open":1,"p_active":0.861,"p_room":0.75,"age_days":34,"expected_fill_days":43,"reasons":["conf:2","velocity","win:late"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/quora-senior-machine-learning-engineer-ads-quora-remote","json_url":"https://alion.io/job/quora-senior-machine-learning-engineer-ads-quora-remote.json","meta":{"generated_at":"2026-10-15T17:18:06Z","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":"search","counted_by":"address","units_charged":0,"used_today":0,"day_limit":null,"remaining_today":null,"minute_limit":null,"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":7826},"rest":"https://alion.io/mcp/rest/get_company?id=7826"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquora-senior-machine-learning-engineer-ads-quora-remote"},{"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%2Fquora-senior-machine-learning-engineer-ads-quora-remote"},{"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%2Fquora-senior-machine-learning-engineer-ads-quora-remote"},{"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/quora-senior-machine-learning-engineer-ads-quora-remote\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquora-senior-machine-learning-engineer-ads-quora-remote"}]}