Staff Machine Learning Engineer

November 14

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Description

• Daydream is a dynamic and innovative fashion technology startup poised to revolutionize the industry. • As a Machine Learning Engineer at Daydream, you will help transform fashion retail with AI. • This role requires a unique blend of strong software engineering skills, deep machine learning expertise, and an intense focus on delivering a great experience for the user. • You will match users to an amazing look by building industry-leading content understanding (language and vision), and conversational interfaces. • Partner with product and other engineering teams to bring cutting-edge AI solutions to life. • As a startup, we need MLEs that love wearing multiple hats: some weeks you’ll be a data scientist, others a backend engineer.

Requirements

• 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 • 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

• Competitive salary, equity and benefits (medical, dental, vision, 401k, etc.) • Flexible vacation and remote working • The opportunity to be part of a groundbreaking, AI-focused company. • Collaborative work environment with a team of talented, fun-loving individuals. • Opportunity to learn and grow in your career while shaping the future of fashion, shopping and technology