Top Machine Learning Jobs

The Lead Machine Learning Engineer at CapTech designs and implements scalable machine learning systems, collaborates with teams, and provides technical leadership while optimizing enterprise data-driven solutions.

CapTech seeks a Machine Learning Engineer to design and implement scalable ML systems, analyze large datasets, and collaborate with cross-functional teams for data-driven solutions.

The Machine Learning Engineer will design and implement scalable ML systems, analyze large datasets, and collaborate with teams to meet client needs.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, focusing on scalable systems, client collaboration, technical leadership, and mentoring.

The Machine Learning Engineer designs and implements data-driven solutions, develops scalable ML systems, analyzes datasets, and leads client collaborations.

The Machine Learning Engineer designs and implements scalable solutions for clients, analyzing datasets, productionizing ML systems, and leading teams.

Design, build, and deploy large-scale distributed AI/ML applications (IVR, voice, chat) including multi-agent systems and LLMs. Collaborate with product and data science, ensure reliability, scalability, monitoring, and bring research-driven innovations into production using cloud, containers, and IaC practices.

As an AI/ML Engineer and Data Scientist, you'll analyze data, develop predictive models, and provide insights to clients across various sectors, using advanced statistical techniques and machine learning tools.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

As a Machine Learning Researcher, you'll develop deep learning models for trading strategies, collaborate with teams, and advance ML techniques in finance.

Seeking a Senior Machine Learning Engineer to design and implement ML systems, optimize deployment, and collaborate with data teams, focusing on scalability and performance.

The Machine Learning Engineer will develop ML models for quality assurance in additive manufacturing, collaborate with engineering teams, and deploy solutions in production.

As a Scientist in Machine Learning, you will develop novel models for RNA structure and drug targeting, advancing the R&D platform and collaborating with interdisciplinary teams.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Build, fine-tune, and deploy ML and LLM-driven features and agent workflows inside the NOS platform. Design evals, monitoring, and safety controls, own model quality, shape data ontology, and partner with engineers and nuclear domain experts to productionize predictive and anomaly-detection models for operational decisions.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

Build and deploy ranking, matching, recommendation, and allocation ML systems for a global talent marketplace. Work across retrieval, scoring, inference (real-time and batch), feedback loops, and experimentation to optimize long-term hiring outcomes under marketplace constraints.

Design and optimize on-vehicle perception inference: allocate CPU/GPU resources, compress and quantize large multimodal models, build TensorRT model conversion pipelines, and deliver production-quality low-latency C++/CUDA inference for power- and thermal-constrained vehicle SoCs.

Lead design, build, and productionize scalable ML systems on cloud platforms. Provide technical leadership, mentor teams, translate business needs into data-driven solutions, work with large datasets, implement recommender/NLP/vision models, leverage LLMs and agentic architectures, and support business development and client engagements.

Design, develop, and productionize scalable machine learning and data science solutions for clients. Analyze very large datasets across cloud platforms, implement recommender/NLP/computer vision and LLM-based systems, optimize for performance and scalability, leverage containerization and data warehousing, and lead/mentor junior practitioners while supporting business development and client strategy.

Design, build, and productionize scalable machine learning systems; analyze and transform large datasets; implement recommender, NLP, and other analytic solutions; deploy models in cloud/enterprise environments; collaborate with clients and lead junior team members while contributing to business development.

Lead design and delivery of end-to-end, production-scale ML systems on cloud platforms. Provide technical leadership, mentor teams, analyze and transform large datasets, implement recommender/NLP/risk models, productionize scalable ML, and grow practice through client-facing activities and business development.

As an ML Engineer II, you will develop manipulation systems for mobile robots, building models, training datasets, and deployment pipelines for improved robot interactions in dynamic environments.

Lead design and implementation of backend systems and statistical models for the Pinterest ads marketplace. Define experiments to measure long-term marketplace effects, design auction and allocation strategies, balance long- and short-term objectives, and drive cross-functional collaboration to improve marketplace operations and insights.

Lead data-centric work for embodied AI: mine and curate fleet driving data, build large-scale enrichment and labeling pipelines, train and fine-tune foundation models, and design rigorous offline and closed-loop evaluation to improve safety and generalization across cities, vehicles, and sensor rigs.