Machine Learning Engineer
San Francisco Bay Area
Robust Intelligence
Achieve AI security and safety to unblock the enterprise AI mission.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.
About The Role
Robust Intelligence is the leader in AI Security. There is no dearth of challenges to solve, the AI landscape is constantly evolving and the threat landscape is changing rapidly, this provides you with a fertile opportunity to build impactful solutions that make AI safe and secure for everyone.
As an ML Engineer build ML models and algorithmic approaches to detect and protect against AI security risks. You will develop deep domain knowledge in AI and security, you will touch all aspects of building detection techniques and deploying them to production environments. You are at home working with a cross-functional team of researchers, engineers, and security experts to design, develop and deploy innovative AI solutions.
As a MLE you will
- Track and identify AI security risks, experiment with latest ML techniques to build SoTA protections
- Be hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productizing protection mechanisms.
- Work with Senior Engineers to understand with latest GenAI research and applications that lead to novel security risk
- Participate in red-teaming assessments to help uncover threats, to gather context and collect data used to solidify our products.
- You'll have the opportunity to contribute to our overall machine learning culture as a member of the team.
What we look for:
- A BS or MS in Computer Science/Engineering.
- A strong background in AI, machine learning, and deep learning.
- An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.
- Strong programming skills in generic programming languages such as Python or Golang.
- Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Technologies we use:
- Python and specifically numpy, pandas
- ML frameworks like pytorch, tensorflow, fastai, xgboost, catboost, lightgbm, sklearn etc
- GRPC for integrating with our platform
- Bonus: Golang
Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and a long list more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Computer Science Deep Learning Engineering fastai Generative AI Golang LightGBM Machine Learning ML models NumPy Pandas Pipelines Python PyTorch Research Scikit-learn Security TensorFlow Testing XGBoost
Perks/benefits: Career development Competitive pay Equity Fitness / gym Flex hours Flex vacation Health care Lunch / meals Parental leave Salary bonus Snacks / Drinks Wellness
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