Machine Learning Engineer

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.

Our application process consists of five steps:

1. Short Survey: After reviewing your resume, if you meet the minimum requirements, we will send you a short questionnaire via email**.** This should take no longer than 15 minutes.****
2. Initial Call: After successful review of the survey, we will conduct an initial call via Google Meet. It will help us get to know you better and discuss your background and interests. It will also give you an opportunity to learn more about our company culture and the role.  The scheduling link will be provided in a future email.
3. Coding Challenge: If the initial call goes well, we will send you a coding challenge that should take no longer than 8 hours to complete. This challenge will help us assess your coding skills and problem-solving abilities in a practical context.
4. Interviews: Upon successful completion of the coding challenge, we will schedule a series of technical interviews, where you will meet our team including the CEO and CTO. We will invite you over to our office in San Mateo if you are based in the Bay Area. For candidates who reside outside of the Bay Area, we will do the interview via Google Meet. These interviews will further assess your technical skills and problem-solving abilities relevant to the position.
5. Offer: Upon successful completion of the technical interviews, we will discuss the terms of employment and extend a formal offer to you.