Machine Learning Engineer

Our client is a highly innovative deep-tech organization building next-generation intelligent systems at the intersection of artificial intelligence, software engineering, and advanced hardware technologies. Their multidisciplinary teams are solving some of the most complex technical challenges in the industry, combining machine learning, real-time systems, and large-scale data processing to develop products with meaningful real-world impact. With significant investment in research and engineering, they offer a unique opportunity to work on cutting‑edge technology that pushes the boundaries of what’s possible.

Work on highly complex and technically challenging AI problems Collaborate with world‑class engineers, researchers, and product teams Influence the direction of both software and hardware innovation Access proprietary datasets and advanced technologies unavailable elsewhere Competitive compensation, equity, and exceptional career growth opportunities The Role Our client is seeking a Machine Learning Engineer to develop advanced machine learning systems that process complex real‑world data streams and power next‑generation intelligent products. This role combines machine learning, software engineering, and applied research, offering the opportunity to build and deploy production‑grade models while helping shape future product capabilities. You’ll work closely with engineering and product teams to design scalable, high‑performance solutions that operate in demanding real‑time environments.

Design, build, and deploy machine learning systems for production applications Develop advanced algorithms and models that transform complex data into actionable outcomes Research, prototype, and optimize machine learning approaches for real‑world use cases Build scalable, low‑latency systems capable of operating in real‑time environments Collaborate with software, hardware, and product teams to drive innovation across the organization Analyze performance data and user feedback to continuously improve system capabilities Contribute to technical leadership and engineering best practices across the team Your Experience Our client is looking for a highly capable Machine Learning Engineer with a strong combination of software engineering expertise, machine learning knowledge, and experience delivering production‑ready systems. Proven experience designing, building, and deploying machine learning products in production environments Strong programming skills in Python and at least one systems programming language such as C++, C, or Rust Deep understanding of machine learning algorithms, neural networks, and model development workflows Strong foundation in algorithms, data structures, and software engineering principles Ability to solve complex technical challenges using first‑principles thinking Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related discipline (or equivalent industry experience) Highly Desirable Experience working with large‑scale data processing systems Background in signal processing, computer vision, robotics, or time‑series data Experience optimizing models for real‑time inference and deployment Exposure to research‑driven environments or highly innovative technology products Passion for solving difficult engineering challenges with measurable impact Base salary between $220,000 and $280,000 Opportunity to work on industry‑leading technology Significant technical ownership and influence Long‑term career progression within a high‑growth engineering organization Work Authorization Requirement Due to client requirements, candidates must be either a U.S. citizen or Green Card holder. Our client is unable to provide visa sponsorship or support visa transfers for this position. #J-18808-Ljbffr