Applied AI Engineer

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.

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.

• 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

• 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

• 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

• 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

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.

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.