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

Open nowPosted 160 days ago

AI & ML Engineer

Sandstone12 open roles

Pay
$225,000 – $300,000 a year
Where
New York, New York
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowAI & ML EngineerSandstone · New York, New York

  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 Sandstone'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.

13.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 160 days ago

The posting

ABOUT SANDSTONE

Sandstone is on a mission to elevate in-house legal from a support function into a true strategic partner. From day one, we’ve been clear about what we are—and are not. We are not replacing in-house legal teams. We are building a platform that amplifies them.

Our platform enables modern legal teams to move at the speed of AI, deliver better outcomes, and create measurable business value. We unify legal data, power end-to-end workflows, and organize business context within the tools teams already use. Sandstone is the home for AI-native legal departments.

Today, Sandstone is trusted by Fortune 500 companies and fast-growing innovators alike. We ship quickly, iterate relentlessly, and scale with intention.

When you join Sandstone, you become part of a team that believes deeply in the compounding power of collaboration, rigorous problem-solving, and obsessive attention to detail. Our engineering team is elite, our lawyers ship code every day, and we are dedicated to building the most delightful product an in-house lawyer opens in the morning—and closes at the end of the day.

We work five days a week out of our offices in the Lower East Side. Dogs welcome; shoes optional; chess encouraged.

THE ROLE

Sandstone is building the AI-native operating system for in-house legal teams. As an AI & ML Engineer, you will build the systems that make that possible: agents that reason over contracts and business context, retrieval systems that surface the right precedent, document understanding pipelines that turn legal work into structured intelligence, and evals that help us measure and improve quality.

This is an applied AI product engineering role. You will own production AI systems end-to-end, from problem definition and data strategy through model behavior, orchestration, reliability, UX, and launch. You will work closely with engineers, lawyers, designers, and customers to translate legal judgment into product behavior.

This is not a research role, a prompt engineering role, or a narrow ML infrastructure role. We are looking for product-minded AI engineers who can move quickly through ambiguity, work across the stack, and build systems that are useful, trustworthy, and delightful for lawyers to use every day.

WHAT YOU’LL DO

- Build production AI systems for legal workflows such as contract review, redlining, legal intake, drafting, negotiation, search, and knowledge management

- Improve retrieval and context systems that reason over contracts, playbooks, precedent, customer data, and business context

- Build document parsing and understanding pipelines that extract structure, entities, obligations, issues, and negotiation context from complex legal documents

- Develop agentic and workflow-based LLM systems for long-running, multi-step legal tasks

- Create evals, datasets, metrics, and feedback loops to measure quality, reliability, cost, and latency

- Partner with lawyers and customers to turn real workflow feedback into product improvements

- Work across backend AI services, data pipelines, APIs, and product surfaces

- Make pragmatic system design decisions about when to use frontier models, smaller models, retrieval, rules, human review, or product design

WHAT WE LOOK FOR

- 4+ years of experience as an AI engineer, ML engineer, full-stack engineer, product engineer, data scientist, or similar role

- Experience shipping applied AI or LLM-powered products, especially involving retrieval, agents, evals, document understanding, structured extraction, or workflow orchestration

- Strong software engineering fundamentals and comfort working across backend systems, data pipelines, APIs, and product-facing surfaces

- Ability to own ambiguous technical and product problems from discovery through launch and iteration

- Strong judgment around quality, latency, cost, reliability, observability, security, and UX tradeoffs

- Excitement about working with lawyers and customers to encode domain expertise into product behavior

- Bias toward shipping, measuring, and improving rather than waiting for perfect specs or perfect models

- Clear communication, especially when explaining AI behavior and system tradeoffs to technical and non-technical teammates

- Bonus: experience with legal, financial, enterprise SaaS, search, document AI, workflow automation, or other domains where correctness and trust matter

WORKING AT SANDSTONE: BENEFITS & PERKS

- Comprehensive health, dental, and vision insurance; 401K

- 12 weeks paid parental leave

- Flexible time off (20+ days PTO)

- Annual learning & development stipend

- Technology stipend, including unlimited spend on AI tooling

- Daily lunch for in-office team members

At Sandstone, we value high ownership, flexibility, and curiosity. You'll have an outsized impact, work closely with ambitious colleagues, and help transform how legal teams work for the modern age.

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 Sandstone'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 Sandstone'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

    Sandstone'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.