Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4345656580&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER Job Description: Block MB Share Show more options Senior Machine Learning Engineer New York, United States · 2 hours ago · 27 applicants Promoted by hirer · Company review time is typically 1 week $120K/yr - $160K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Easy Apply Save Save Senior Machine Learning Engineer at Block MB Senior Machine Learning Engineer Block MB · New York, United States (Remote) Easy Apply Save Save Senior Machine Learning Engineer at Block MB Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team Jessica McBride 3rd Hiring the top 1% of Data and Software professionals within SMEs in the UK, EU and US - AI Enthusiast - Scaling teams since 2016 Job poster Message About the job Senior Machine Learning Engineer – Data & Agents Remote (US‑friendly time zones) | Full-time The mission Join a B2B AI/data startup that turns messy, unstructured signals into clean, always‑up‑to‑date company intelligence for CRMs, warehouses and AI products. You’ll help build the ML + LLM “engine” behind these agentic systems, not just plug into someone else’s platform. The role This is an end‑to‑end ML engineering role with real ownership. You’ll design and run production ML pipelines, ship LLM‑ and model‑driven features, and decide how new techniques make it into a live system used by enterprise customers. What you’ll do Own production ML systems from design to deployment, monitoring and iteration. Build scalable ML pipelines and agentic workflows you can trust at scale. Ship LLM‑ and model‑driven product features, not just proofs of concept. Set up and improve experiment tracking, model CI/CD and automated retraining. Raise reliability and observability: drift, data quality, regressions and feedback loops. Help shape ML/AI architecture, tooling and standards, and mentor other ML engineers. What you bring 5+ years in ML, including taking production systems end‑to‑end. Strong Python and deep experience with ML or LLM‑based systems. Comfortable designing and operating ML pipelines, feature stores and evaluation at scale. Familiar with modern foundation models and agentic patterns. Bias to ship, measure and refine; motivated by solving real customer problems, not chasing leaderboard scores. Why you might care Work on mission‑critical ML for top‑tier enterprise customers, with clear, visible impact. High‑trust, low‑ego team with direct access to founders and engineering leadership. Top‑tier compensation, meaningful equity and the chance to help define the ML platform and culture from an early stage. Job search faster with Premium Access company insights like strategic priorities, headcount trends, and more Noor and millions of other members use Premium Try Premium for PKR0 1 month free before paying. Cancel anytime.