Applied AI Engineer
San Francisco Bay Area
Full Time Senior-level / Expert USD 180K - 280K
Gradient
Gradient window heat pumps are a modern and energy efficient solution to window and whole home air conditioning, that cools, heats, and never blocks your view. The latest innovative HVAC solution that services four seasons with just one system.About the Company
Gradient is the AI operating system for financial services, partnering with institutions to create tailored AI solutions for their toughest business problems. We've developed the only AI-powered Finance Reasoning Platform that is used to power and scale infinite critical operations.
Combining decades of financial services experience with frontier technology, we're able to achieve things previously impossible.
About the Role
The Applied Science team at Gradient identifies and prototypes greenfield research ideas to greatly expand the domain of our Data Reasoning Platform - towards more automation, more complex, accuracy-critical use cases, and more industries with higher fidelity. In result, we save countless hours of human intelligence for our customers.
As an Applied AI Engineer, you’ll experiment at the boundary of what’s possible with AI applications, drawing insights from and collaborating closely with our solutions and engineering teams. You’ll own, collaborate on, and advocate for stepwise changes in our core-product AI technologies. Additionally, as an early member of a team with very flat hierarchy, you’ll have a large influence on shaping team culture.
Responsibilities
Identify, prove out, and prototype impactful improvements to our core platform, leveraging novel AI solutions
Collaborate with adjacent stakeholders - empathize and learn from customer needs, clearly communicate your findings to leadership, and pair with engineering on production implementation
Stay curious on AI research at all levels of the stack
Shape culture and research best practices for the team, and the rest of the org
Qualifications
A degree in a deeply technical field (e.g. computer science, AI/ML, computational science) with a proven track record of applied AI research (e.g. significant journal or conference publication, lead on AI feature development, popular open source project)
1+ years of software engineering experience in a production environment
Experience with Python, PyTorch, LLM prompting
Fluency with one or more of the following: LMMs, multimodal LLMs, prompt engineering, RL, reasoning and search with AI, and related algorithms
Are excited about working at an early stage startup and building products from 0 to 1, and have experience doing so
Are interested in exploring ways to harness AI to disrupt industries
About Us
We’re an ambitious team tackling a huge industry with over $100B in TAM
Our founding and exec team consists of former leaders who have helped scale hypergrowth startups and led teams at Netflix, Google, and Meta
We typically work in-person 2-3 days a week at our HQ in San Mateo, CA
Benefits & Perks
Medical, dental, vision plans covered at 90%
401k Employer Contribution (nonelective contribution of 3% of your compensation)
Flexible time off - take time off when you need it!
Two approved remote work weeks per year
Catered lunches & snacks in-office
Team socials & outings throughout the year
12 weeks of paid parental leave
Pay Range and Compensation Package
In consideration of market analysis and relevant factors, the salary range for this position is set between $180,000 and $280,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program.
Equal Opportunity Statement
Gradient is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Tags: Computer Science Engineering Finance LLMs Machine Learning Open Source Prompt engineering Python PyTorch Research
Perks/benefits: 401(k) matching Equity / stock options Flat hierarchy Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events
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