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Hestus, Inc. (YC S24) Is Hiring an ML Engineer to Revolutionize CAD


Location: Peninsula About Us: We are Hestus. We are creating AI-powered CAD to revolutionize the hardware development process. Join our dynamic startup where innovation meets dedication. We are a fast-growing company looking for a versatile and enthusiastic Machine Learning Engineer to join our team. If you thrive in a fast-paced environment, enjoy wearing multiple hats, and are passionate about technology, we want to hear from you! Responsibilities: Design, develop, and maintain robust and scalable software applications using Python. Create, tune, and implement custom machine learning models and embeddings to enhance product capabilities. Collaborate with cross-functional teams to define, design, and ship new features. Participate in code reviews, testing, and debugging to ensure high-quality software delivery. Develop backend components to improve responsiveness and overall performance. Troubleshoot and resolve software defects and issues. Contribute to all phases of the development lifecycle, from concept and design to testing and deployment. Stay updated with the latest industry trends and technologies to bring innovative solutions to the team. Requirements: Proven experience as a Machine Learning Engineer, with at least 4 years in industry or equivalent academic experience (thesis-based Master’s or PhD). Expert-level proficiency in Python; write clean, efficient code without any handholding. Demonstrated experience in creating and tuning custom machine learning models and embeddings. Familiarity with deep learning frameworks similar to PyTorch, like TensorFlow, Keras, or MXNet. Ability to work in a fast-paced startup environment and manage multiple tasks simultaneously. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). Bonus Skills: Experience with MLP (Machine Learning Platforms) such as Amazon SageMaker, Azure ML, or Google Cloud AI Platform. Experience with cloud platforms (e.g., AWS, Google Cloud). Experience with backend development and frameworks (e.g., Django, Flask, SQL). Experience in developing novel embeddings, beyond just large language models (LLMs) or image processing techniques. What We Offer: Competitive salary and equity options. Comprehensive health insurance, including medical, dental, and vision coverage. Catered lunch. Unlimited time-off. A collaborative and inclusive work environment. Opportunities for professional growth and development. The chance to be part of a passionate team building innovative products.

If you thrive in a fast-paced environment, enjoy wearing multiple hats, and are passionate about technology, we want to hear from you! Create, tune, and implement custom machine learning models and embeddings to enhance product capabilities. Stay updated with the latest industry trends and technologies to bring innovative solutions to the team.

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