Research Scientist

*Role: Research Scientist*
*Who We Are*
Granica is an AI information research and engineering company, with expertise derived from Stanford, Google, and Apple.
Granica's State-of-the-Art Data Foundation Platform tackles critical development challenges experienced by ML and AI practitioners building data-centric products and services. These challenges include risks from potential exposure of PII and sensitive information by models, inefficient data storage management, computational resource constraints, and limited utility from growing amounts of unstructured data.
With Granica, ML and AI teams are able to leverage a comprehensive enterprise platform that scales to exabytes, offers unparalleled performance and customer service, and accelerates development cycles for quicker time to market.
Based in Mountain View, California, Granica has raised $45 million in cumulative capital from leading institutional investors, including New Enterprise Associates and Bain Capital Ventures, in addition to prolific technology luminaries and pioneers.
Granica is actively growing its team of technical data and AI experts, seeking 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, as well as continually enhance existing products. Granica's research team is led by Dr. Andrea Montanari, a renowned expert from Stanford in the areas of information theory, machine learning, mathematics, and physics.
Research scientists at Granica are involved in all stages of a research projects: (1) Defining the project and its objective; (2) Researching and reproducing state-of-the-art methods; (3) Formulating new algorithmic ideas; (4) Prototyping these ideas and testing them via carefully designed systematic experiments; (5) Transferring successful ideas to production in collaboration with platform engineering teams; (6) Publishing novel results.
Check out the team's award-winning research here:
[https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.09780](https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.09780)
[https:\u002F\u002Farxiv.org\u002Fabs\u002F2309.14563](https:\u002F\u002Farxiv.org\u002Fabs\u002F2309.14563)
*Who you are*
_*Minimum Qualifications *_
• 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 $180,000 to $220,000. 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!