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Gradient (gradient.ai)

Applied AI Engineer

Sorry, this job was removed at 04:08 p.m. (PST) on Tuesday, Jul 15, 2025
In-Office
7 Locations
180K-280K Annually
In-Office
7 Locations
180K-280K Annually

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About the Company

DeepSky is a business insights and research agent designed to accelerate research and strengthen conviction. Our proprietary agent leverages first principles thinking, strong finance fundamentals, and premium data sources to analyze the implications of market events and other types of strategic questions.

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 DeepSky identifies and prototypes greenfield research ideas to greatly expand the domain of our core AI 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

DeepSky 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.

HQ

Gradient (gradient.ai) San Francisco, California, USA Office

San Francisco, CA, United States

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
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  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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