1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Companies throughout the country are racing to modernize their machine learning pipelines, and demand for skilled TensorFlow talent continues to climb. With 23 remote openings currently available, this is an ideal moment for engineers who want flexibility without sacrificing meaningful, high-impact work. Employers across the USA are actively looking to hire a TensorFlow specialist who can help scale intelligent systems from prototype to production.
Strong candidates typically bring hands-on experience with Python, neural network architectures, and model optimization techniques, along with a solid grasp of data preprocessing and deployment workflows. Familiarity with cloud platforms, containerization, and version control tools like Git rounds out a competitive profile. Communication skills matter too, since collaborating with cross-functional teams on model performance and business goals is a core part of the job. Employers reviewing TensorFlow vacancies often prioritize problem-solving ability and a track record of shipping reliable ML solutions.
Remote work has become the norm for machine learning roles, allowing companies to tap into talent nationwide rather than limiting searches to a single metro area. This shift has fueled a steady rise in TensorFlow positions, as organizations in finance, healthcare, retail, and tech build distributed teams around specialized AI expertise. Flexible scheduling, asynchronous collaboration, and cloud-based development environments now define how most remote-first ML teams operate day to day.
If you are ready to advance your career and explore new TensorFlow jobs in the USA, now is the time to take action. Global Work AI connects motivated professionals with employers seeking top-tier machine learning talent, making it easier to find a role that fits your skills and ambitions. Explore current openings and take the next step toward a rewarding remote career today.

M9 Solutions
Design and deploy scalable AI/ML models, develop predictive analytics and automation frameworks, and integrate AI solutions into secure environments. Ensure compliance with cybersecurity and data governance standards, oversee data engineering pipelines, and manage model lifecycle.

COBEC INC
Lead AI implementation projects for government and commercial clients, delivering AI-enabled solutions and conducting needs assessments. Develop and deliver training sessions to enhance AI literacy, and create frameworks for AI adoption.

Motional
Define and execute motion planning and prediction projects for self-driving vehicles. Lead and manage a team of engineers while designing and implementing behavior models using machine learning and generative AI.

Motional
Define and execute motion planning and prediction projects for self-driving vehicles. Lead and manage a team of engineers while designing and implementing behavior models using machine learning and generative AI.

Runware
Own inference performance for the fleet, including kernels, serving engines, model optimizations, and benchmarks. Set the performance roadmap and prioritize models and techniques. Write and tune CUDA kernels, implement new quantization formats, and develop batching strategies.

SkyPilot
Own GPU scheduling, utilization, and health across clouds and Kubernetes, ensuring real-time monitoring and automatic recovery. Build optimizations for training and serving, including node hot-swapping and fast model checkpointing.

Initiate Government Solutions
Design, develop, and deploy machine learning models for clinical decision-making and predictive analytics. Collaborate with data engineers to preprocess healthcare data and build scalable ML pipelines.

DigitalOcean
Design and implement scalable cloud solutions for strategic accounts, focusing on AI/ML and GPU technologies. Collaborate with Sales and Technical Account Management to modernize customer workloads and influence technical decisions.

Bright Vision Technologies
Develop computer vision pipelines for various use cases, prepare and augment image/video datasets, train and evaluate models, optimize model inference, and integrate vision models into production systems. Collaborate with software and data teams to ensure reliable visual intelligence deployment.

Tonal
Lead the research and development of multimodal foundation models using synchronized sensor, video, and physiological signals. Design self-supervised pretraining strategies and develop sensor fusion approaches.

Adidev Technologies Inc
Architect and refine machine learning models and algorithms, engaging in the full lifecycle of data modeling projects. Execute data analysis, including preprocessing and feature engineering, while leveraging Generative AI algorithms.

Tilt Finance
Build, train, and evaluate deep learning models on financial data. Ship models that integrate into existing ML pipelines to enhance credit modeling and loss prediction.

Motional
Develop and implement computer vision and machine learning solutions for autonomous vehicle perception systems. Design and debug features in production software using Python and C++. Integrate algorithms with on-car software and architect workflows for data preparation.

Tilt Finance
Develop and test new modeling approaches using deep learning architectures. Build frameworks that integrate into existing ML pipelines to enhance credit modeling. Collaborate with data scientists and engineers to translate complex ideas into practical solutions.

Oracle
Develop and deploy machine learning models, including large language models, and build scalable pipelines for batch and real-time use cases. Lead the design and architecture of AI/ML solutions, ensuring high-quality, efficient software development.

Shopify
Architect, optimize, and own Shopify’s production ML inference, focusing on high throughput and low latency. Leverage technologies like CUDA, TensorRT, and Triton to enhance performance.

Akamai
Lead the design and implementation of components for the Akamai Inference Cloud platform, ensuring performance and scalability. Drive technical decisions for AI inference workloads and mentor engineers through code reviews and design discussions.

STN Inc
Profile customer training and inference workloads to identify bottlenecks. Establish performance baselines for hardware generations and encode optimization knowledge into agent-executable fixes.

MWDN
Investigate and optimize LLM inference performance on modern GPUs. Analyze GPU execution, memory access patterns, and kernel performance. Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.

Fruition Executive Search
Design and own the computer vision architecture for fine-grained item identification. Define accuracy standards and build calibrated confidence scoring. Create a feedback loop between model errors and labeling.

Lead machine learning projects from conception to production, collaborating with Product, Data Science, and Engineering teams. Build and enhance large-scale ML systems, including retrieval and ranking, and define product success metrics.

Capital Technology Group
Lead the design, evaluation, and implementation of AI/ML solutions. Analyze and communicate technology benefits and risks to stakeholders. Develop and deploy production-ready AI/ML applications in AWS. Mentor engineering teams and collaborate with clients to deliver mission-critical solutions.

MWDN
Investigate and optimize LLM inference performance on modern GPUs. Analyze GPU execution, memory access patterns, and kernel performance. Develop, optimize, debug, or reverse-engineer CUDA kernels and low-level GPU operations.
10,000,000+ more jobs available!