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

Open nowFirst seen 4 days ago

Member of Technical Staff - Applied ML

Transparent Search Group151 open roles

Pay
$175,000 – $350,000 a year
Where
New York, New York, United States
Get the CV for this job

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

Your applicationOpen nowMember of Technical Staff - Applied MLTransparent Search Group · New York, New York, United States

  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 Transparent Search Group'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.

12.3% 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 4 days ago

The posting

Member of Technical Staff - Applied ML

Company: Confidential — venture-backed technology company

Location: New York, NY (Flatiron office, in person 5 days per week)

Compensation: $175,000 - $350,000 + highly competitive equity

Employment Type: Full-time

Visa Sponsorship: Visa transfers; can sponsor all types

About the Company

The client started from the belief that AI agents would become integral to knowledge work, and that accounting (structured, high-stakes and essential to every business) would be among the first domains transformed. Three years in, the client can complete a partnership tax workbook end to end, and accountants use it daily to create complex journal entries and debug reconciliations, with capabilities improving every month.

The client has raised a $140M Series B.

The Role

As an ML Engineer at the client, you will own end-to-end projects that bring intelligence into production: the systems that help its agents reason, plan and evaluate themselves. You will have full autonomy to plan projects, define success, run experiments and decide when a system is ready to ship. This is an applied role for engineers who want to operate as researchers and builders at once.

What You Will Do

  • Design and iterate multi-agent architectures that automate real accounting workflows, with clear autonomy boundaries, tool usage and fallback behavior.
  • Manage context and memory across agent steps; route, evaluate and optimize models under latency, cost and accuracy constraints.
  • Build scalable offline and online evaluation pipelines that run hundreds of experiments automatically, with golden tasks, labeling strategies and metrics.
  • Instrument the stack to catch regressions, track error taxonomies and drive closed-loop improvement.
  • Architect prompt stacks, retrieval and indexing pipelines, and document parsing into structured representations agents can reason about.
  • Scope projects with concise specs, build and test end to end, and communicate progress clearly within your pod.

What You Bring

  • 4-12 years as a machine learning engineer
  • Experience at a fast-paced startup (Series A-D), a tier-1 tech company or a hedge fund
  • End-to-end LLM agent applications: benchmarking, model orchestration and evals for agent behavior and reliability
  • Structured ML experimentation: framing hypotheses, building evaluation infrastructure, iterating on measurable results
  • CS, physics, math or other technical degree from a top school
  • Very clear communication
  • Located in the US or Canada and able to work in the New York office 5 days a week

Nice to Have

  • ML products and underlying models at a fast-paced company
  • Deep Python and LLM/transformer expertise
  • Interest in AI's impact on accounting and finance

Interview Process

Initial screen with leadership, meet-the-team screen, technical coding interview, onsite plus references.

Tech Stack

Python, Postgres, LLMs, agent frameworks, evaluation pipelines

Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

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 Transparent Search Group'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 Transparent Search Group'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

    Transparent Search Group'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.