Machine Learning Engineer- NYC (on-site) | $130K-$160K | W-2 Only | No Sponsorship (nor or future) /No Relocation

Our client is looking for a Machine Learning Engineer who will be responsible for designing and developing machine learning systems, implementing appropriate ML algorithms, conducting experiments, and improving the product. They will work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications that will delight customers. This is an early-stage company with ambitious goals.You’ll work across:• Developing and deploying ML systems• Training and optimizing modern ML models• Running experiments and improving performance• Building self-learning applications that customers genuinely love• Turning messy real-world data into production-ready intelligenceYou might be a great fit if you have:• Strong experience with PyTorch and transformer-based systems• Experience deploying scalable ML services on AWS• Hands-on work with agentic AI frameworks (RAG, LangChain, MCP, etc.)• 1–3+ years of full-time experience in an MLE roleWhat we’re really looking for:Strong ML FoundationsYou’ve worked with recommender systems, embeddings, and foundation models. You know when sophisticated approaches matter — and when simplicity wins.Production MindsetYou’ve shipped ML systems into real-world environments. You write reliable Python, understand infrastructure fundamentals, and care about performance.Data AgilityYou’re comfortable working with messy datasets — scraping, parsing, cleaning, and transforming raw information into usable training data.Frontend AwarenessYou don’t need to be a frontend engineer, but you understand how ML integrates into modern React-based product experiences.High Ownership DNAYou identify problems, define solutions, and execute. You thrive in environments where initiative matters more than permission.1-of-1 EnergyMaybe you’ve been underestimated or boxed in before. You’re ready for a place where you can fully show what you’re capable of.JobID: 48175