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2 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range $200,000.00/yr - $270,000.00/yrWant to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!Job detailsHigh-Growth Data Startup is looking for a Machine Learning Software Engineer to join their growing team!This Jobot Job is hosted by Sydney WeaverAre you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $200,000 - $270,000 per yearA Bit About UsBacked by Y Combinator and fresh off a $50M Series C funding round, this fast-scaling data infrastructure company is redefining how organizations sync, activate, and intelligently use customer data. Already trusted by major players like Spotify and Ramp, the platform enables high-throughput, low-latency data syncing across SaaS tools. Now, the team is building out a new intelligence layer to transform raw data into actionable insights—unlocking the next generation of personalization, experimentation, and automation.This is a high-impact, foundational role for a Machine Learning Engineer with strong software engineering chops. You'll work across the stack, influencing product direction and technical architecture, and be instrumental in building core ML features from 0 to 1.Why join us?CultureOutcomes based, no micro-management or unnecessary meetings. We trust our team and get out of the wayGreat work life balance. We believe you can't do more than 6-8 hours of great engineering work in a dayBenefitsOpen to onsite or remote candidates with offices in NY and SFCompetitive Salary + EquityFully covered health, dental, & vision401K + matchPTO, vacation, sick, and much more!Job DetailsResponsibilitiesDesign and implement machine learning models for personalization, predictive audiences, experimentation, and budget optimizationBuild systems that help determine what content to send, to whom, and when—based on terabytes of dataCollaborate with customers to understand business goals and define ML-based solutionsArchitect scalable ML and backend infrastructure to support low-latency data applicationsDrive innovation in applying LLMs to generate high-performing marketing content (text, images, creatives)Analyze and optimize budget allocation by measuring incremental conversions and cost efficiencyContribute to product vision, working closely with cross-functional teams including data, product, and designPlay a key role in shaping the company's growing intelligence layer as one of the first ML hiresRequirementsBachelor's degree in Computer Science, Electrical Engineering, or related field4-10+ years of experience in both Software Engineering and Machine LearningExperience with LLM / NLP / RAG and proven experience building recommendation, search, personalization, and/or pricing systemsExperience building and shipping products from scratch in a high-scale SaaS environmentHands-on experience with distributed backend infrastructure and production ML pipelinesStrong backend engineering skills and a deep understanding of ML modelingExcellent communication skills—able to clearly articulate complex systems and decisionsInterested in hearing more? Easy Apply now by clicking the "Easy Apply" button.Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.Want to learn more about this role and Jobot?Click our Jobot logo and follow our LinkedIn page!Seniority level Seniority level Not ApplicableEmployment type Employment type Full-timeJob function Job function Engineering and Information TechnologyIndustries IT Services and IT Consulting and Software DevelopmentReferrals increase your chances of interviewing at Jobot by 2xGet notified about new Machine Learning Engineer jobs in Flagstaff, AZ .We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr