Staff Machine Learning Engineer @ Stealth AI Startup | Jobright.ai
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Stealth AI Startup ยท 1 day ago

Staff Machine Learning Engineer

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Responsibilities

Work with product to create unique and effective AI agent experiences in product
Build, deploy, and optimize production-ready, scalable backend and ML services
Implement ML models for various applications in fashion retail (conversational interfaces, language and image understanding)
Automate repetitive work, and enable rapid experimentation
Develop and maintain robust data pipelines for training and serving ML models
Implement efficient data processing and feature engineering pipelines
Integrate external domain-specific knowledge (fashion) from experts and other sources
Collaborate with data engineers to ensure high-quality, reliable data inputs for ML models
Build continuous monitoring of model performance
Develop automated retraining pipelines to keep models up-to-date
Troubleshoot and debug issues in production ML systems
Work closely with the team to deliver innovative AI/ML product experiences
Productionize ML models, and improve model architectures
Partner with product managers to translate business requirements and user journeys into technical solutions
Innovate unparalleled fashion search, discovery, and computer vision techniques
Contribute to company AI research initiatives and potential patent applications
User-centric and product-centric focus - build tech to solve real user problems

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning EngineeringPythonCloud PlatformsML Model ServingData PipelinesKubernetesTensorFlowPyTorchNatural Language ProcessingImage UnderstandingDeep LearningDistributed ComputingDockerGoTypescriptStatistical ModelingGraph Neural NetworksReinforcement LearningData PrivacyEthical AI PracticesGPU AccelerationFashion Industry Knowledge

Required

5+ years of experience in machine learning engineering or similar roles
Able to solve hard problems independently, while meshing with a team to accomplish shared goals
Strong systems and backend engineering skills, including service design, testing, deployment, and monitoring; Kubernetes experience is a plus
Strong programming skills in Python; familiarity with other languages is a plus
Proficiency in working with large datasets and distributed computing systems
Proficiency in cloud platforms (e.g., AWS, GCP, Azure) for ML model deployment
Experience with ML model serving technologies (e.g., TensorFlow Serving, ONNX)
Willingness to learn Go, Typescript, or whatever programming language is needed to do the job
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)
Solid understanding of machine learning algorithms, deep learning, and statistical modeling
Extensive experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with natural language processing (NLP) for applications like chatbots or search
Experience with image understanding models, and use in applications
Experience in deploying ML models to production environments
Understanding of ML ops practices and tools for continuous integration and deployment of ML models
Experiencing improving AI/ML product features through the use of data, feedback, and analysis

Preferred

Advanced degree in Computer Science, Machine Learning, or a related field
Fashion or e-commerce industry
Deep natural language understanding experience
Deep knowledge of computer vision techniques, particularly as applied to fashion and retail
Graph neural networks or knowledge graphs
Reinforcement learning techniques
Open-source ML projects or research publications
Data privacy and ethical AI practices
GPU acceleration and distributed training of large-scale models

Benefits

Medical
Dental
Vision
401k

Company

Stealth AI Startup

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Building something great

Funding

Current Stage
Early Stage
Company data provided by crunchbase
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Orion

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