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Staff Machine Learning Engineer
Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a remote-first company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
2025: The Year of AI at Honeycomb!
We’re thrilled to announce the formation of our dedicated AI Team, a powerhouse of innovation and vision. This team will drive our AI strategy, crafting game-changing product features that span the spectrum of machine learning (ML) to generative AI (GenAI). They’ll also elevate the engineering domain by building the frameworks that enable teams across Honeycomb to harness the power of AI effectively.
While AI isn’t new territory for Honeycomb, this initiative marks an exciting leap forward as we scale our capabilities and impact. Want a peek at what we’ve been up to? Dive into our blog posts to see the journey so far:
What you’ll do in the role:
- Lead the Charge in AI Experimentation: Drive our experimentation and evaluation efforts—both online and offline—pioneering new AI innovations.
- Set the Standard for AI Excellence: Shape and refine our AI best practices by staying ahead of the curve with the latest industry advancements.
- Own Production-Ready Systems: Deploy and monitor application and infrastructure code, ensuring robust performance in production environments.
- Collaborate with Product and Design: Partner closely with product managers and designers in our triad model to bring AI-driven ideas to life and deliver delightful user experiences.
- Empower R&D Teams: Support cross-functional teams across Honeycomb in developing and delivering cutting-edge, AI-powered product features that amaze our users.
What you’ll bring to the role:
- GenAI Expertise: At least 1+ year of experience building and deploying production-ready features with generative AI.
- ML Mastery: 5+ years of hands-on experience in machine learning, with a strong foundation in building and refining models.
- Deep Knowledge of Retrieval & Recommendation Systems: Proven experience designing systems that deliver personalized, relevant results.
- Collaborative Spirit: A track record of working effectively with engineers, product managers, and cross-functional teams to bring AI-driven visions to life.
- Production Ownership: Experience owning your model’s performance and behavior in live production environments.
Bonus Points:
- Experience in the developer tools space.
- Familiarity with adjacent areas like UI integration or production infrastructure development.
Base pay range for this role is USD $208,500 - $245,000 depending on experience
What you'll get when you join the Hive:
- A stake in our success - generous equity with employee-friendly stock program
- It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
- Time to recharge - Unlimited PTO and paid sabbatical
- A remote-first mindset and culture (really!)
- Home office, co-working, and internet stipend
- 100% employee/75% for dependents coverage for all benefits
- Up to 16 weeks of paid parental leave, regardless of path to parenthood
- Annual development allowance
- And much more...
Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Diversity & Accommodations:
We're building a diverse and inclusive workplace where we learn from each other, and welcome nontraditional candidates, and people of all backgrounds, experiences, abilities and perspectives. Further, we (of course) follow federal and state disability laws and are happy to provide reasonable accommodations during the application phase, interview process, and employment. Please email talent@honeycomb.io to discuss accessible formats or accommodations. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work; if we can do better - we want to know!
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the Honeycomb Privacy Notice.
If you do not want us to retain your information for consideration for other roles, or want us to update it, please contact privacy@honeycomb.io. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
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