Staff Machine Learning Engineer
il y a 1 jour
Datadog is building AI-assisted agents to help our users solve operational and security related problems in an automated way. This ambitious project consumes data about our customers’ systems, discovers potential problems, proposes solutions, and offers those solutions to users with manual and automated steps. The goal for the team is to provide pathways to resolve problems identified across Datadog products.
We’re looking for a Staff MLE to take the lead in building out a few new AI agents for Datadog. We are not building models directly at first; rather, we’re leveraging existing LLMs at first to build agentic systems that do work for users on Datadog just like a human might to solve security related problems that come up daily, think of this as working to assist and eventually replace the need for a Security Engineer to handle common issues. You will work across our science and engineering teams to build applied AI systems at production scale, experiment, and iterate on new ideas in the space, and help Datadog develop AI Agents of the future.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:- Lead technical effort to develop the architecture, patterns, and individual solutions for new LLM driven AI Agent systems
- Help drive the AI/ML strategy for AI Agent driven systems
- Enhance the AI/ML competence across an organization of engineers, engineering managers, and product managers. Provide mentorship on the usage of ML
- Partner with Staff Engineers and Product partners, policy owners and operational teams, to identify and demonstrate AI/ML opportunities. Encourage critical thinking within teams to develop this understanding themselves
- Collaborate closely with data scientists and engineers to develop the next generation of Datadog’s AI Agent systems
- Represent and evangelize AI/ML across Datadog
- Regularly speak with users to discover their needs and feedback
- Navigate tradeoffs between thoroughness and time-to-market, understanding how to provide the right level of value to customers at the right time
- Work with other Datadog teams to integrate their domain expertise into solution pathways
- Mentor and grow other engineers on the team and beyond
- You’re passionate about Generative AI/LLMs and its ability to help software engineers and security engineers be more productive and keep systems more secure
- You have practical knowledge of the modern machine learning lifecycle
- You ship fast, route around blockers, and are comfortable working with ambiguity
- You love talking with users
- You’re happy to jump into any part of the stack and do whatever’s needed to move a project forward
- You may have been a founder or early builder at a startup– this is a similar kind of effort
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:- High income earning opportunities based on individual performance
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Sales training in MEDDIC and Command of the Message
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
- Giving programs
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
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