Senior ML Platform Engineer

Salary: $81,000 - 121,000 per year Requirements: We require 12+ years of software engineering experience, including substantial experience designing, building, and running complex production systems. We require 6+ years of experience developing and deploying AI/ML, optimization, or other model-driven applications in production. We need strong Python skills and a proven record of creating maintainable, well-tested production software. We need strong SQL expertise and experience with data-intensive applications and large-scale datasets. We require experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications. We require experience with containerization and orchestration technologies such as Docker and Kubernetes. We need demonstrated ability to lead complex technical solutions from architecture and design through production release, operation, and continuous refinement. We need strong problem-solving, collaboration, and communication abilities, with the confidence to influence technical decisions across multidisciplinary teams. We value experience collaborating with research teams in fast-moving environments and rapidly shaping research prototypes. We value experience with generative AI, large language models, AI agents, and architectures for production AI systems. We value experience with evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications. We value familiarity with machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX. We value experience with distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design. We value experience optimizing performance across latency, throughput, compute usage, reliability, scalability, and cost. We value experience with responsible AI, security, governance, and controls in enterprise or regulated environments. We value experience with a systems- or performance-oriented language such as Rust, C++, C, Go, or Zig. We value experience in financial services or another regulated industry. Responsibilities: We provide technical leadership, set architectural direction, and drive key design choices across multidisciplinary teams. We design, build, and operate production AI/ML systems spanning generative AI, intelligent agents, predictive modeling, and optimization. We develop reusable AI platforms, services, and infrastructure that speed up experimentation, deployment, monitoring, and adoption across the firm. We translate emerging AI capabilities into robust, scalable solutions that deliver measurable business value. We define evaluation, testing, and observability methods for AI systems, including non-deterministic and agentic applications. We optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost. We partner with business, engineering, data, risk, and control teams to move solutions from concept to production and ongoing operations. We establish engineering standards, mentor engineers, and shape technical strategy across teams. Technologies: AI AI Agents API Cloud Docker Support Kubernetes Machine Learning Model Serving PyTorch Python Rust SQL Security TensorFlow More: hackajob is working with BlackRock to connect exceptional professionals with this role. AI Labs is BlackRocks advanced AI science and engineering organization, helping drive transformation across investments, client experience, operations, risk management, and product innovation. Our hybrid team of scientists and engineers builds production-grade solutions at scale, from AI-powered investment insights and risk tools to agentic workflows and enterprise AI platforms. We operate from offices in New York, Edinburgh, Atlanta, San Francisco, and Seattle, and we are looking for candidates with fresh perspectives and diverse skill sets to help amplify our impact across the firm. last updated 36 week of 2026