Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 102 days ago

Data Scientist, AI/ML

Gremlin4 open roles

Pay
$220,000 – $290,000 a year
Where
Remote, based in the US
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Scientist, AI/MLGremlin · Remote, based in the US

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Gremlin's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 102 days ago

The posting

Data Scientist, AI/ML

Job Description:

Today’s complex, fast-paced systems have become a minefield of reliability risks, any of which could cause an outage that costs millions and destroys customer confidence. That’s why high-availability teams use Gremlin to find and fix reliability risks before they become incidents.

Gremlin Reliability Platform helps software teams proactively monitor and test their systems for common reliability risks, build and enforce reliability standards, and automate their reliability practices organization-wide. As the industry leader in Chaos Engineering and reliability testing, we work with hundreds of the world’s largest organizations where high availability is non-negotiable.

About the Role of the Data Scientist, AI/ML

As a Data Scientist, AI/ML at Gremlin, you will have the opportunity to improve the reliability of the internet at large by turning millions of chaos engineering experiments into automated failure analysis and remediation. You will be able to leverage your applied machine learning experience to inform product direction as well as solve complex technical problems that directly impact our customers (which range from the Fortune 500 to smaller organizations). You will work closely with a small, talented engineering team focused on quality, delivery, and predictability with an emphasis on providing our customers a great user experience.

In this role, you’ll get to:

  • Analyze Gremlin’s proprietary dataset of millions of chaos engineering experiments to identify failure patterns, root causes, and resilience signals across complex distributed systems
  • Pretraining and fine-tuning machine learning models that automatically detect, classify, and explain failures observed during chaos experiments
  • Build intelligent systems that deliver automated remediation recommendations, and eventually orchestration, by learning from historical experiment outcomes and system behavior
  • Develop scalable data pipelines and feature stores to process, enrich, and serve large volumes of experiment data for both model training and real-time inference
  • Collaborate closely with platform engineers and SREs to integrate AI-driven failure analysis and remediation capabilities directly into Gremlin’s core product
  • Apply advanced techniques, including causal inference, graph ML, time-series modeling, and reinforcement learning, to continuously improve the accuracy and actionability of automated failure analysis
  • Translate insights from millions of chaos experiments into AI-powered features that help customers automatically understand blast radius, pinpoint root causes, and accelerate recovery
  • Research and productionize novel ML approaches, including causal AI and agentic systems, that turn raw chaos experiment data into automated, reliable remediation strategies

We’ll expect you to have:

  • Experience as a self-driven and collaborative problem solver with strong communication skills
  • 5+ years professional experience building and productionizing machine learning, ideally for distributed systems, infrastructure, or DevOps and SRE use cases with more overall years of experience in software development.
  • Hands-on experience with techniques such as causal inference, graph ML, time-series modeling, or reinforcement learning
  • Experience building data pipelines and feature stores that support both offline training and real-time inference
  • Experience with agile development environments and practices
  • Strong advocate and practitioner of rigorous experimentation, model evaluation, and engineering best practices
  • Comfort partnering with platform engineers and SREs to turn research into shipped product features
  • Strong at breaking down ambiguous problems into concrete actions and milestones

Bonus Experience:

  • Experience with chaos engineering, site reliability engineering, or distributed systems
  • Background in agentic AI systems or large-scale causal inference in production
  • Experience standing up MLOps tooling such as model serving, monitoring, or feature store infrastructure
  • Working in Remote first environments
  • Has been on-call and participated in an incident management program

*The role does not offer sponsorship employment benefits.

**If you don’t think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.

Compensation

We expect the salary range for this role to be $220,000 - $290,000. We recognize that salary varies from person to person depending on level of experience and we welcome direct conversations about it. The final offer will vary based on assessment of a candidate's skills and ability and our budget and market data.

Gremlin offers competitive total compensation packages including 401k Matching, Equity and other benefits such as flexible time off and paid company holidays.

About Gremlin:

Gremlin is a team of industry veterans and people eager to learn from one another. We set the standard for reliability and equip leading organizations with the mindset and expertise needed to drive reliability improvements that move the world forward. We’re backed by top-tier investors Index Ventures, Amplify Partners, and Redpoint Ventures. Our customers love us, and we’re thrilled to be a partner in their success.

What Do We Care About:

We Care about our People

People are our critical differentiators. The company strives to treat our people with respect, empathy, and dignity. We expect that our people will treat each other similarly. In both cases, we will assume good intent. All are welcome at Gremlin. We know our differences make us stronger and that our best ideas and contributions can come from anyone at any level.

We Care about Collaboration

Gremlin is strongest when we come together as one team with shared goals. Be the glue, not the glitter. But as a remote company, teamwork and collaboration won’t happen by accident. We approach every challenge as a shared challenge. We rely on each other for diverse perspectives and creative ideas. We celebrate our wins as a team.

We Care about Results

Be high productivity, low drama. Results matter. To keep our pace, everyone owns the outcomes of their actions and takes action when needed. We reward speed over perfection. We empower each other to iterate and experiment. You are welcome at Gremlin for who you are. The more voices and ideas we have represented in our business, the more we will all flourish, contribute, and build a more reliable internet.

Gremlin is a place where everyone can grow and is encouraged. However you identify and whatever background you bring with you, please apply if this sounds like a role that would make you excited to come into work everyday. It’s in our differences that we will find the power to keep building a more reliable internet by building and designing tools used by the best companies in the world.

Visit our website to learn more - https://www.gremlin.com/about

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Gremlin's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Gremlin's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Gremlin's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.