{"id":990379,"url":"https://alion.io/job/fetch-senior-machine-learning-engineer-ii","title":"Senior Machine Learning Engineer II","company":{"id":672968,"name":"Fetch","domain":"fetch.com","url":"https://alion.io/company/fetch-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":92,"open_postings":17,"ghost_share":0,"stale_share":0.118,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-09-26T05:45:00Z"}},"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":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":211353,"max":248650,"currency":"USD","period":"year","gross":null,"usd_annual":248650},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-06-23T22:01:45Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-26T21:47:01Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":94},"description":"What we’re building and why we’re building it.\nFetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.\nEach day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.\nThe Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.\nIt’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees.\nAt Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch.\nMeet Fetch AI & Data\nAI & Data at Fetch sit at the center of how we understand our business, make decisions, and build intelligent products. The organization operates as an integrated AI & data ecosystem, spanning multiple disciplines, including data engineering, analytics engineering, machine learning, experimentation, and data platforms, all working together to turn data into durable business and customer impact.\nTeams operate in complex problem spaces where requirements evolve, tradeoffs are constant, and the right answer is rarely obvious. Success depends on strong technical judgment, comfort with ambiguity, and the ability to gather context and make informed decisions while balancing quality, performance, scalability, and responsible use.\nPractitioners across this org contribute hands-on to production systems, analytical foundations, and intelligent features. You will collaborate closely with product, platform, and engineering partners, help shape standards and best practices, and ensure our AI and data capabilities scale reliably as Fetch grows.\nAbout the Role:\nWe are seeking a Senior Machine Learning Engineer IIto join Fetch’s Ad Ranking team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on building and improving ranking, relevance, and optimization models that drive ad selection and delivery at scale. You will partner closely with product, data, and platform teams to develop ML-driven decisioning systems, including feature pipelines, model training and evaluation workflows, and low-latency serving infrastructure. This is a high-impact opportunity to influence how ads are ranked and personalized across the Fetch experience, improving advertiser performance, user engagement, and overall marketplace efficiency.\nRole Responsibilities:\nDesign, build, and improve machine learning models that power ad ranking, relevance, and optimization across the Fetch platform.\nImplement and iterate on active learning strategies, including data sampling, error-driven retraining, and human-in-the-loop workflows to improve ranking quality.\nLeverage LLMs to reduce model development and annotation effort, including synthetic data generation, assisted labeling, weak supervision, and error analysis for ranking and relevance tasks.\nOwn ML experimentation, offline and online evaluation, and production inference for assigned ad ranking components.\nPartner closely with product, data, and platform teams to translate advertiser and user experience gaps into measurable ML improvements.\nMaintain high standards for model performance, reliability, latency, and data quality in production ranking systems.\nUse AI-assisted tools to accelerate development, experimentation, debugging, and analysis while maintaining strong engineering judgment.Designing features and validating ideas with ChatGPT & Claude sandboxes.\nLeveraging AI for code generation and technical prototyping.\nUsing AI assistants for systems architecture diagramming and design validation.\n\nMinimum Requirements:\n8+ years of software engineering experience with a strong track record of building and maintaining production ML or data-driven systems.\nStrong proficiency in Python for machine learning and data processing, with working knowledge of Go, and hands-on experience deploying low-latency models into production ranking or decisioning systems.\nExperience with AWS and distributed systems, including building or operating scalable training pipelines and online inference services.\nPractical experience applying LLMs to reduce model development and data labeling effort, including assisted labeling, synthetic data generation, weak supervision, or model error analysis.\nStrong engineering judgment and systems mindset, with an emphasis on reliability, performance, and long-term maintainability of ranking or optimization systems.\nExperience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, or similar) to accelerate iteration while maintaining high code quality.\nAbility to critically evaluate AI-generated outputs, debug complex issues, and validate correctness in production ML workflows.\nPreferred Requirements:\nBachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.\nFamiliarity with modern AI tooling and frameworks such as AWS Bedrock, LangChain, vector databases, or similar orchestration technologies used in ML-powered decisioning systems.\nExperience building and operating machine learning workflows involving large language models (LLMs), including prompt-driven systems and model-assisted pipelines.\nFamiliarity with orchestrating ML-driven decisions in high-throughput or low-latency environments, such as ranking, recommendation, or optimization systems.\nExperience with applied machine learning for relevance, ranking, or personalization problems (e.g., feature engineering, model evaluation, or feedback loops).\nExperience working in small, fast-moving, cross-functional teams, partnering closely with product, data, and platform stakeholders.\nThis is a full-time role that can be held from one of our US offices or remotely in the United States.\nCompensation: At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. The base salary range for this position is $211,353 - $248,650. Discover our benefits and how our employees live rewarded at https://fetch.com/careers.\nAt Fetch, we'll give you the tools to feel healthy, happy and secure through:\nEquity: We offer full-time employees equity in Fetch, so that everyone can benefit from Fetch’s growth.\n401k Match: Dollar-for-dollar match up to 4%.\nBenefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.\nContinuing Education: Fetch provides ten thousand per year in education reimbursement.\nEmployee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.\nPaid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, as well as our year-end week-long break. \nRobust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return to work schedule. \nCalvin Care Cash: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!\nFlexible Work Environment: Collaborate with your team in one of our stunning offices, or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home. (applicable for most roles)\nFetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.\nFetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at .","description_format":"text","description_chars":9698,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Flexible schedule","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Gift Cards & Loyalty Programs","Coupons, Deals & Cashbacks"],"lifecycle":[{"event":"open","at":"2026-09-17T02:14:28Z"}],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.621,"p_room":0.44,"age_days":94,"expected_fill_days":63,"reasons":["conf:4","velocity","win:tail","crowd:"],"computed_at":"2026-09-26T05:45:00Z"},"pay":{"stated_usd_annual":248650,"is_top_pay":true},"html_url":"https://alion.io/job/fetch-senior-machine-learning-engineer-ii","json_url":"https://alion.io/job/fetch-senior-machine-learning-engineer-ii.json","meta":{"generated_at":"2026-09-27T03:37:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3413,"day_limit":5000,"remaining_today":1587,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}