Senior Machine Learning Engineer, Robust Intelligence
AI Security
$185-220k
+ Equity
Eliminating AI Failures
Job no longer available
Eliminating AI Failures
21-100 employees
Job no longer available
$185-220k
+ Equity
21-100 employees
Company mission
To enable every organization in the world to adopt AI securely.
Role
Who you are
- Minimum of 4 years of experience in the field
- A MS or Ph.D. in Computer Science/Engineering (an added bonus will be a focus on AI/Security.)
- Deep domain knowledge about AI technologies and/or information security
- A strong background in AI, machine learning, and deep learning
- Strong programming skills in generic programming languages such as Python or Golang
- Experience in applying AI technology to security domain is highly preferred
- Excellent written and verbal communication skills, strong analytical and problem-solving skills
What the job involves
- As an ML Engineer with AI Security focus you will need to understand advances in AI technology and the security risks that follow such advancement
- You will build ML models and algorithmic approaches to detect and protect against such security risks
- As a senior MLE you will develop deep domain knowledge in AI and security to research, innovate, lead and influence our product direction
- You are at home working with a cross-functional team of researchers, engineers, and security experts to design, develop and deploy innovative AI solutions
- 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
- Engage with the AI security community to create standardized taxonomies, datasets and tools
- Engage with latest GenAI research and applications and be a leader in exposing security risks, for e.g. How the Agentic Application of GenAI leads to expanded threat vector surface area?
- Along the way, publish research, white-papers and blogs to share novel techniques for application of AI towards AI security
- 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 an Senior member of the team
Our take
As companies leverage more AI technology in their operations, so too do malicious actors, increasing the need for rigid defences while allowing data scientists to work freely. Plenty of companies (like Sentinel One and Dataminr) have moved into the AI defence space.
Robust Intelligence’s platform helps companies secure their deployment of AI and Machine Learning models. The company offers two separate tools: one which performs stress tests on AI algorithms in search of potential weak spots, and another which acts similarly to a firewall by scanning for and heading off corrupted data.
Launched in 2019, Robust Intelligence is a new entrant, but already has enterprises like PayPal and NTT Data signed up. The work of co-founder Yaron Singer, a tenured Harvard professor, may give the company an edge. Singer built the platform with the help of former students, after spending years researching AI security mechanisms and creating new algorithms to detect bad data, effectively enough that the government agency DARPA helped fund his work.
Steph
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2021
$30m
SERIES B
Oct 2020
$14m
SERIES A
Total funding: $58m
Company benefits
- 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
Company HQ
Dogpatch, San Francisco, CA
Leadership
Yaron Singer
(Co-Founder & CEO)After a PhD in Computer Science at Harvard, they founded Bidwave and spent 2 years as a Research Scientist at Google. While working as a Harvard Professor, they co-founded Robust Intelligence, serving since as CEO.
Kojin Oshiba
(Co-Founder)While studying at Harvard, they co-founded the Tokyo Branch at QuantCo and worked as an undergraduate researcher. Upon graduating in 2019, they co-founded Robust Intelligence.
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