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Research Engineer

Build industry-leading conversational AI models and take them from idea to production in a collaborative team environment.

Location
San Francisco
Compensation
$200k–$400k/yr
Level
mid
Type
full time · On-site

Posted by employer 1 month ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Decagon → Save job Scanned from decagon.ai

Skills & Technologies

AI/ML Python Flexible on stack

AI in the day-to-day

We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation.

Requirements

Experience
2+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Daily lunches and snacks Unlimited PTO Disability benefits Wellness Stipend Fertility and family building benefits Health Insurance Parental Leave Life Insurance

Joblaze summary

In the role of Research Engineer at Decagon, the individual will focus on developing and refining conversational AI models that enhance the capabilities of the company's agents. Key skills include proficiency in Python, experience with AI/ML engineering, and a background in deploying large language models in production. This position is ideal for engineers with a strong track record in translating research concepts into practical applications, particularly those who thrive in a fast-paced, collaborative environment.

Joblaze insights

Quick facts

Is the Research Engineer role remote?
No — this is an on-site role in San Francisco.
What's the salary range?
Decagon lists $200,000–$400,000 for this role.
How much experience is required?
At least 2 years of relevant experience for this Research Engineer role.
Where is the role based?
Decagon is hiring for this position in San Francisco.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Python.
What seniority level is this role?
Decagon targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Research Engineer role at Decagon.

From the original posting

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Team

Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs

The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.

Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.

About the Role

As a Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system.

We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.

In this role, you will

  • Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion

  • Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience

  • Partner with platform and product engineers to integrate new models into production systems

  • Break down ambiguous research ideas into clear, iterative milestones and roadmaps.

Your background looks something like this

  • 2+ years of experience in AI/ML engineering or research.

  • Prior experience post-training and deploying LLMs in production environments.

  • Fluency in Python and modern ML tooling (training, evaluation, data pipelines)

  • Track record of taking research ideas from prototype → reliable, measurable production impact

Compensation

$200K – $400K + Offers Equity

This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.

In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.

Benefits

We proudly offer the following benefits for our full-time employees:

  • Medical, Dental, and Vision benefits for you and your family

  • Life Insurance and Disability Benefits

  • Retirement Plan (e.g., 401K, pension)

  • Parental Leave

  • Fertility and family building benefits through Carrot

  • Monthly stipend to support your wellness, lifestyle, and work-life balance

  • Daily lunches and snacks in the office to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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