Machine Learning Engineer

Are you passionate about building generative AI products with state-of-the art technologies?

Do you thrive in an environment that combines research with hands-on product-building?

Ready to work with a leading fintech platform for Silicon Valley?

We’re working with a 40-person Series A start-up that’s transforming how startups manage their capital and savings. Their platform enables seamless cash management, capital deployment, credit applications with major banks and more. Their products are streamlining. They're leveraging generative AI and LLMs to release a new suite of finance products that will parse complex information, streamline workflows and generate insights. They're scaling a new AI team to focus on this expansion.

Responsibilities:

• Build AI products from end-to-end, including design, modeling, and deployment.
• Work with a tech stack that includes Python, PyTorch, and Google Cloud Platform (GCP).
• Utilize APIs from OpenAI and Anthropic to enhance product functionality.
• Stay updated with the latest AI trends and research, while focusing on product development.
• Collaborate with a product-focused AI engineering team to deliver impactful solutions.

Requirements:

• 2 years of experience working with LLMs or generative AI (Junior, Senior and Staff/Principal levels available).
• Strong programming skills in Python and familiarity with PyTorch.
• Hands-on experience with cloud platforms like GCP.
• Passion for product-building and solving real-world challenges with AI.
• Willingness to work on-site in San Francisco.

Please apply if interested.

Big Cloud is a leading recruiter in the AI & Data Science space. We're lucky enough to recruit the best candidates in partnership with some of the most exciting companies all over the world. We try to reply to all applications, but we’re only human, for now! So, you may only hear from us if you are successful.

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