Jobs Hiring Near Me: Curated Data Scientist Jobs in United States

This role offers the opportunity to design and deliver advanced AI solutions that create measurable impact in a highly regulated healthcare environment. The Senior Machine Learning Engineer will own the full lifecycle of AI assets, from problem definition and architecture through deployment, optimization, and adoption.

We are a Series A AI company based in Mountain View, CA, building high-quality training and post-training data, robust reinforcement learning environments, and intelligent agents that bridge the gap between AI research and real-world execution. Our work spans multimodal data, agentic systems, and physical intelligence — and we collaborate closely with frontier AI labs and enterprises.

Join a small, high-caliber team building and scaling core ML systems from the ground up at an AI data and services startup in Mountain View, CA. This is a founding-level Machine Learning Engineer role where your work directly shapes the company's technical culture, infrastructure, and long-term ML impact.

Our client is a premier venture accelerator backing high-growth technology and emerging-tech startups. They are seeking an experienced Senior Machine Learning Engineer to join their in-house engineering team in New York City, reporting directly to the Chief Technology Officer (CTO). The role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

We are hiring on behalf of our client, an industry-leading accelerator program focusing on the intersection of blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and proactive Data Scientist to join its core engineering group. This role reports directly to the Chief Technology Officer and takes full end-to-end ownership of data products—from defining initial requirements to deploying reliable production systems.

This job is no longer available.

This is a high-impact, senior engineering role where engineers are expected to operate with significant ownership and minimal oversight. The role focuses on building production-ready AI systems in an environment where speed, correctness, and architectural decisions have long-term implications.

Provide subject matter expertise and ownership of one or more of the company’s core business domains. Establish and lead best practices, setting the example for the team. Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling. Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior. Provide customized views of large and complex datasets to support data analysis and business decision-making. Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities. Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance. Harden data pipelines and models for production deployment and monitoring of performance over time. Provide mentoring and education to this team and other teams across the company. Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere.

The role involves hands-on adversarial testing across the model, application, and data pipeline. The candidate will work with a client's Guardrails and AI red-teaming team to translate findings into plain language for engineers and provide remediation guidance that is actually usable.

The role involves hands-on adversarial testing across the model, application, and data pipeline. The candidate will work with a client's Guardrails and AI red-teaming team to translate findings into plain language for engineers and provide remediation guidance that is actually usable. The position offers remote working anywhere in the US, growth opportunities, and full support from C-Serv.