✦ Luna Orbit — AI & Machine Learning

Senior ML Engineer

at Chess.com

📍 Remote, US Remote Posted March 07, 2026
Type Full-Time
Experience mid
Exp. Years 5+ years
Education Not specified
Category AI & Machine Learning

A senior machine learning engineer role focused on developing scalable ML systems, advancing generative AI, and deploying large language models in a remote environment.

  • Own ML product features
  • Scale ML systems
  • Prototype and iterate
  • Lead AI innovation
  • Mentor junior engineers

Involves building and deploying ML models using frameworks like TensorFlow and PyTorch, working with foundation models, LLMs, and MLOps practices in a fully remote setting.

The ideal candidate is a senior ML engineer with over 5 years of experience in building scalable ML systems, proficient in deep learning frameworks like TensorFlow and PyTorch, and knowledgeable about generative AI and LLMs. They should have strong leadership and mentorship skills.

5+ years of experience building scaled ML systemsMLModel DeploymentPythonTensorFlowPyTorch
Generative AILarge Language ModelsLLMsAI EngineeringMLOps
TensorFlowPyTorchPythonML FrameworksML Ops
MLDeep LearningDLAIModel DeploymentPythonTensorFlowPyTorchMLOpsFoundation ModelsLLMsGenerative AI
Machine LearningMLDeep LearningDLAIArtificial IntelligenceData PipelinesModel DeploymentModel TrainingML FrameworksPythonTensorFlowPyTorchML OpsModel EvaluationFoundation ModelsLLMsLarge Language ModelsGenerative AIAI Engineering
CollaborationProblem-solvingLeadershipMentorshipCommunicationTeamwork
Industry Technology / Gaming / Content
Job Function Develop and deploy scalable ML and AI systems, including generative models and LLMs
Senior ML EngineerMachine LearningMLDeep LearningDLAIArtificial IntelligenceData PipelinesModel DeploymentModel TrainingML FrameworksPythonTensorFlowPyTorchML OpsModel EvaluationFoundation ModelsLLMsLarge Language ModelsGenerative AIAI Engineering

Less than 5 years of experience in ML system development, Lack of experience with TensorFlow or PyTorch, No experience with scalable ML infrastructure

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