Who We Are
Granica is an AI information research and engineering company, with expertise derived from Stanford, Google, and Apple. Granica's Data Foundation Platform directly tackles specific issues including inefficient model training processes and complex compliance challenges with data privacy and enrichment technologies. By implementing Granica, users can streamline a path to ethical AI.
Based in Mountain View, California, Granica has raised $45 million in cumulative capital from the world's top institutional investors, including New Enterprise Associates and Bain Capital Ventures, as well as prolific technology luminaries and pioneers.
Granica is actively growing and working towards a generational mission of making AI Safe, Effective, and Efficient. We seek individuals who are inspired to challenge the status quo and can be sheer force multipliers across their respective teams and the company at large. We value and welcome unconventional backgrounds, oddballs, and misfits. We foster an ethos of inclusivity no matter what.
Summary
Granica relies on world-class fundamental ML and AI research to drive the company's long-term product roadmap. Our research and machine learning team, led by Dr. Andrea Montanari, is one of the most highly regarded in the world and includes members with accomplished backgrounds in machine learning, information theory, statistics, and algorithms.
We have multiple openings for esteemed Research Scientists to join our research and machine learning team. This team is absolutely instrumental in the long-term success of Granica, cementing the company's reputation as pioneers in the AI research space and continuing to push the boundaries on what is possible for advancing new enterprise use cases in predictive and generative AI.
Check our our teams published research below:
https://arxiv.org/abs/2309.14563
https://arxiv.org/abs/2305.10690
https://arxiv.org/abs/2302.09780
What You’ll Do
You will own research projects end-to-end, from ideation to production.
Invent:
- Define a research project and its objective
- Research and reproduce of state-of-the-art methods
Own:
- Formulate new algorithmic ideas
- Prototype these ideas and test them via carefully designed systematic experiments
- Transfer successful ideas to production in collaboration with new products engineering and platform engineering teams
- Publish novel results to continuously grow Granica's research and machine learning team's reach globally
Learn:
- Be an engaged team player in a customer-obsessed, cross-functional environment where you will feel excited and empowered to take on what is most impactful for the company and its end users
What You Bring To Us:
- Bachelor’s degree or International Equivalent in Computer Science, Mathematics, Physics, Information Science or related field; advanced degrees a plus
- Deep familiarity with one high level programming language, such as Python (and relevant libraries, e.g. NumPy, Scipy, PyTorch) and one low-level language such as C++ or Golang.
- Strong programming skills
- Experience with technical writing and documentation, including academic publications
- Experience with randomized algorithms, information theory, machine learning (both modeling and implementation), optimization.
- Mathematical maturity in multivariate calculus, linear algebra, probability, data structures, and algorithms (at the level these tools are used in current research)
Preferred Qualifications:
- This position involves working on complex problems with no off-the-shelf solutions and requires innovation on-the-fly, thus a Ph.D. background or graduate program in machine learning or related fields is viewed favorably, along with an excellent publication history
- Ability to work three days per week in our Mountain View HQ
Pay And Benefits
The base salary for this role is between $175,000 to $225,000. For sales positions at Granica, the salary range mentioned encompasses the On Target Earnings ("OTE") range specific to each role. This means that the range covers both the target for sales commissions or bonuses, as well as the annual base salary for the role. It is important to note that this salary range applies to various career levels within Granica and will be further refined during the interview phase, taking into account factors such as the candidate's experience, qualifications, and location. In addition to base salary, this role will receive a highly competitive equity compensation package.
Our company-sponsored benefits include the following:
- Generous 401(k) plan with matching to secure and plan for your financial future
- Comprehensive premium health, dental, and vision insurance for you and your dependents
- Early exercise provisions of equity options to participate in the company’s growth
- Unlimited PTO to recharge and rejuvenate
- Healthy lunch and dinner options catered daily at our offices
- Immigration sponsorship and counseling
- Regular team-sponsored events and offsites, including hackathons, that help build strong relationships with your colleagues
- And many more!
We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.
