Staff Machine Learning Engineer

honeycomb.io; United States; Remote; USD 208,000 - 245,000; Full time

Job summary

An established industry player is on the lookout for an AI Specialist to join their innovative team. This role offers the opportunity to lead AI experimentation, shape best practices, and collaborate with cross-functional teams to develop game-changing product features. With a remote-first culture, the company prioritizes trust, autonomy, and accountability, making it an ideal environment for passionate individuals. If you are eager to make a significant impact in the AI space and thrive in a dynamic, inclusive workplace, this is the perfect opportunity for you.

Benefits

Generous equity with employee-friendly stock program

Unlimited PTO and paid sabbatical

Home office and internet stipend

100% employee/75% for dependents coverage

Up to 16 weeks of paid parental leave

Annual development allowance

Qualifications

• 1+ years in generative AI with production-ready features.
• 5+ years in machine learning with model building expertise.

Responsibilities

• Drive AI experimentation and evaluation efforts.
• Shape AI best practices and ensure production performance.

Skills

Generative AI

Machine Learning

Retrieval Systems

Recommendation Systems

Collaboration

Job description

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!

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:

• 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 [e-mail] 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!