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Software Engineer, Cloud
4 months ago
Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of new Generative AI based APIs, new risk vectors like prompt injection, prompt extraction, PII exfiltration, factual inconsistency and hallucinations pose significant threat to organizations. Our flagship products are built to be integrated with existing AI systems and protect against real-time API based 3rd-party AI access to eliminate these risks.
Robust Intelligence is a leading provider of end-to-end AI security solutions for enterprises. Our cutting-edge technology automates the testing and validation of AI models, safeguarding organizations from security, ethical, and operational risks. Backed by prominent investors including Sequoia Capital and Tiger Global, we are proud to work with an expanding list of customers, including JPMorgan Chase, Expedia, ADP, IBM, Deloitte, and key players in the public sector such as the U.S. Intelligence Community and the Department of Defense.
Advancing the state of AI is a collaborative process that requires unusually varied skills and perspectives. To that end, we have built a multidisciplinary team with increasingly diverse backgrounds. Together, we're building the future of secure, trustworthy AI.
Position
Build products that allow users to interact effortlessly with our AI security technology.
Collaborate with machine learning engineers, frontend engineers and product managers to develop our core products and expand existing software to meet the changing needs of our users.
Maintain high standards for code quality and general engineering practices, while shipping software at a startup pace.
As a Software Engineer, Cloud you will:
- Build products that allow users to interact effortlessly with our AI security technology
- Collaborate with machine learning engineers, frontend engineers and product managers to develop our core products and expand existing software to meet the changing needs of our users
- Maintain high standards for code quality and general engineering practices, while shipping software at a startup pace
Your qualification2 years professional work experienceWell-rounded software engineers who have experience building and deploying real-world software systems. Industry experience with machine learning systems is a plus. Experience with the languages and tools we use is also a plus: Go, Python, Kubernetes, GCP, AWS, Azure.Individuals who are eager to learn and take on new challenges.Individuals with great oral and written communication skills.
What we offer
We offer the opportunity to significantly contribute to shaping AI's future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer:
- Competitive salary and company ownership through equity
- Market-leading health, dental, and vision insurance for employees and dependents
- Flexible Time Off Policy and Paid Parental/Family Leave
- Education reimbursement program for Individual Learning
- 401(k) Retirement plan
- Commuter benefits
- Immigration sponsorship - H1B and Green Card
- Company lunches, dinners, and kitchens stocked with snacks and drinks
- On-site gym and wellness program
