Top Machine Learning Engineer Jobs

The Senior Machine Learning Engineer will design innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

The role involves shaping the CV strategy, building ML solutions in production, and integrating them with software systems, focusing on computer vision applications.

The Senior Machine Learning Engineer will design and deploy ML models, mentor junior engineers, and contribute to project architecture, enhancing security applications.

Design, build, and optimize scalable deep learning, reinforcement learning, and Bayesian models. Support research projects, develop end-to-end ML systems and software libraries, exploit parallel architectures, and collaborate with product and engineering to influence roadmap and present results.

The Machine Learning Engineer will develop production-grade ML pipelines, optimize research code, and implement cloud infrastructure for ML workloads at Harmonic.

Build and operate large-scale batch and streaming data pipelines and real-time feature infrastructure to support production ML. Develop ML-adjacent services, ensure reliability/observability, participate in on-call and incident response, and collaborate with ML, data, and platform teams to meet latency, availability, and data quality requirements.

As an ML Research Engineer, you'll design experiments, implement model architectures, and engineer scalable libraries to advance molecular simulations to support drug discovery.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

The role involves architecting molecular machine learning systems, building workflows for data generation and training, and collaborating between research scientists and infrastructure teams.

The Software Engineer will develop infrastructure for ML models, optimizing the economic engine for ride-hailing services and managing backend platforms for real-time decision-making in pricing and vehicle matching.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Partner with sales to drive technical enterprise deals: lead discovery, design solutions, run demos and POCs, address security/compliance and integrations, build trusted technical relationships, and liaise with product/engineering to inform roadmap and support implementation and contracting.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Staff Machine Learning R&D Engineer will innovate machine learning algorithms for spatial computing, collaborate with teams, and translate research into production solutions.

Lead research and production deployment of ML and computer vision systems for 3D capture and reconstruction. Improve camera pose estimation, mesh/surface reconstruction, texturing, semantic understanding, and real-time capture guidance. Apply deep learning, multi-view geometry, and neural rendering techniques; collaborate across hardware, software, and product teams; and manage the full ML lifecycle from data collection to production monitoring. Write high-quality Python and C++ code.

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

Design, research, and implement Generative AI models to enhance investment processes. Collaborate with teams to deliver enterprise-grade solutions and lead projects while solving complex machine learning problems.

Build and maintain ETL/ELT pipelines in a lakehouse/cloud environment, ensure data quality and lineage, and apply classical statistics and ML (anomaly detection, regression, time-series) to support operational decision-making and stakeholder reporting.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

Design, implement, and deploy machine learning models and systems for recommendations and related problems. Collaborate with engineers, data scientists, and product partners to analyze data, build proofs-of-concept, develop ML/optimization models, write production-quality code, and evaluate models against business goals.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.

The Machine Learning Engineer designs and implements scalable machine learning solutions for clients, analyzing data and optimizing systems, while collaborating with teams and clients.