{"id":1180189,"url":"https://alion.io/job/typeface-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":48248,"name":"Typeface","domain":"typeface.ai","url":"https://alion.io/company/typeface","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":55,"open_postings":16,"ghost_share":0.75,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":188000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2025-08-19T19:39:46Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T21:03:32Z","board_verified":true,"closed_at":null,"days_open":401,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":401},"description":"AboutTypeface\n We help the world’s biggest brands move from brief to fully personalized campaigns - in days, not months. \nFounded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. \nWhat You’llDo \nAs a SeniorMachine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations.\nHow You'll Make an Impact\nDefine the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content \nOwn the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. \nEstablish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. \nInvestigate, prototype and deliver innovative solutions \nCollaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth \nEstablish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics\nWhat You Bring\nMaster’s or PhD degree in Computer Science or a related field \nExperience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. \n5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale \nHave a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects \nProficiency in Python, C/C++ (or equivalent) \nAbility to create self-contained, reusable, and testable modules and passionate about prototyping \nPrior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms\nBonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system \nBonus: Experience working at a high-growth startup or tech company\nPublications and research experiences in ML venues and/or vision/language applications are a plus \nLocation\nThis is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. \n Base Salary\nThe range for this role is $188,000-$200,000.Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. \nBenefits\nCompetitive compensation - including salary, equity, and 401(k)\nFull medical, dental, and vision insurance for you and your family\nHSA and FSA options to support your financial wellness\nFlexible time off - including parental leave\nWell-being programs - resources to support your mental and physical health\nDaily lunch & snacks\nMentorship & impact - work closely with top AI leaders on products that ship \nEquality Opportunity Statement\n We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply withapplicable laws in every jurisdictionwhere we operate.\nWhy You’ll Love Working Here \nBuild something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.\nYour work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.\nA+ team - Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies.\n Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo($165M raised).\n Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).","description_format":"text","description_chars":4318,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Parental leave","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Content Creation","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-09-24T13:37:06Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.283,"p_room":0.28,"age_days":401,"expected_fill_days":42,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-09-25T00:42:07Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/typeface-senior-ml-engineer","json_url":"https://alion.io/job/typeface-senior-ml-engineer.json","meta":{"generated_at":"2026-09-25T00:42:07Z","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":592,"day_limit":5000,"remaining_today":4408,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}