Chefman

Chefman

Machine Learning Engineer

Mahwah, NJ

No sponsorship$140k-$170kDetected 4 days ago
PythonVector DatabasesAWSGCPAzureCloud PlatformsCI/CDLinuxMachine LearningDeep LearningTensorFlowPyTorchComputer VisionLLMsRAGAgentic AIMLOpsEmbedded SystemsRoboticsResearchCommunicationCollaborationProblem Solving

About the role

  • As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking.
  • Working on a small, high-impact team, you will have significant ownership over the strategy, research, development, and deployment of AI capabilities that power next-generation kitchen products.
  • From computer vision models that understand what is happening inside an oven to embedded AI systems that make real-time cooking decisions, you will help define how machine learning is applied within consumer appliances.

Responsibilities

  • Develop image classification, object detection, and state-recognition models that identify food types, cooking progress, doneness levels, and other key inputs used to guide cooking decisions.
  • Build and manage datasets, including data collection, labeling, preparation, augmentation, and validation.
  • Deploy and optimize models for cloud and edge devices, balancing accuracy, latency, memory usage, power consumption, and overall system performance.
  • Design and develop AI-driven systems that combine perception, reasoning, and decision-making capabilities to enable intelligent and autonomous cooking experiences.
  • Establish testing methodologies and performance metrics to validate models across real-world usage scenarios.
  • Document model architectures, experiments, and deployment approaches.

Requirements

  • Experience deploying or optimizing models for embedded systems, edge devices, or resource-constrained environments.
  • Ability to independently evaluate new technologies, research, and model architectures.
  • Please Note: Chefman is unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States on a permanent and ongoing basis without the need for current or future employer-sponsored visa support, including H-1B, OPT, STEM OPT, or any other work authorization requiring sponsorship. Applications from candidates requiring sponsorship now or in the future will not be considered.
  • Experience developing and deploying machine learning models in production environments.
  • Strong experience with computer vision, image classification, object detection, deep learning, or related machine learning applications.
  • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, or similar technologies.
  • Experience building and managing datasets used for machine learning model development.
  • Experience working with public cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including their machine learning and AI services.
  • Experience with multimodal foundation models, vision-language models (VLMs), or other AI systems that combine vision, language, and contextual understanding.
  • Experience with MLOps practices including model lifecycle management, experiment tracking, model monitoring, and CI/CD pipelines for machine learning systems.
  • Understanding of model optimization techniques such as quantization, pruning, and inference acceleration.
  • Strong analytical, problem-solving, and debugging skills.

Nice to have

  • Experience with embedded Linux, ARM-based platforms, or edge AI hardware.
  • Experience with TensorFlow Lite, ONNX Runtime, OpenVINO, TensorRT, or similar deployment frameworks.
  • Experience with retrieval-augmented generation (RAG), vector databases, embeddings, semantic search, or knowledge retrieval systems.
  • This position requires U.S. work authorization.

Compensation

  • Salary Range (commensurate with experience)

Benefits

  • Design, train, and deploy machine learning and computer vision models that power autonomous cooking experiences within CHEF iQ products.
  • Own the full machine learning lifecycle, from data preparation and model training through deployment, monitoring, and continuous improvement.
  • Collaborate with firmware, software, hardware, and product teams to integrate machine learning capabilities into consumer products.
  • Develop systems that combine vision, sensor, and contextual data to enable intelligent recommendations and autonomous next-step actions.

Visa & Work Authorization

  • Please Note: Chefman is unable to provide visa sponsorship for this position.
Apply directly at Chefman →Create a free account for alerts like thisView Chefman immigration profile

This listing is sourced directly from Chefman's careers page and normalized into a canonical job model.