Founding Machine Learning Engineer

HCL International | Full time

New York, United States | Posted on 09/07/2024

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• Date Opened 09/07/2024
• Job Type Full time
• Industry Technology
• Salary 250,000
• City New York
• State/Province New York
• Country United States
• Zip/Postal Code 10004

In this role, you’ll be instrumental in developing the next-generation platform to verify the origin, quality, and accuracy of global information. We’re looking for someone with a strong background in ML research, a keen product sense, and exceptional software engineering skills. Join our dynamic team to build groundbreaking software that has already attracted millions of users worldwide.

What You’ll Do:

• Develop Cutting-Edge Models: Design, train, and fine-tune state-of-the-art large language models to advance our platform's capabilities.
• Create AI Agents: Build AI agents combined with retrieval-augmented language models to enhance functionality and performance.
• Build Scalable Systems: Develop efficient and scalable systems for ML training and inference, ensuring optimal performance and reliability.
• Stay Ahead of the Curve: Keep up with the latest research and emerging technologies to address novel challenges and implement innovative solutions.
• Collaborate for Impact: Work closely with product and design teams to develop user-friendly applications that have a meaningful societal impact.

Who You Are:

• ML Expertise: Proficient in Python and PyTorch, with experience pushing the boundaries of machine learning technologies.
• Self-Starter: Able to pitch, plan, and execute projects independently in a fast-paced environment.
• Impact-Driven: Highly motivated by the opportunity to make a positive impact on society through your work.
• Leadership Skills: Comfortable wearing multiple hats and providing leadership as our team expands.
• Work Authorization: Eligible for work in Canada or the US.

Bonus Points:

• Open-Source Contributions: A strong portfolio of open-source projects.
• Research Publications: Publications in top-tier machine learning venues.
• Startup Experience: Experience working in an early-stage startup environment.
• Understanding Model Failures: Insight into how machine learning models fail in real-world scenarios.

Why Join Us:

As a key member of our team, you’ll play a crucial role in shaping the future of AI technology and its impact on society. Enjoy a collaborative and innovative work environment, competitive salary, equity opportunities, and the chance to work on projects that are at the forefront of the industry.

If you’re passionate about advancing machine learning and making a real difference, we’d love to hear from you!

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