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

Open nowPosted 79 days ago

Senior Machine Learning Engineer

Aerobotics73 open roles

Where
India
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowSenior Machine Learning EngineerAerobotics7 · India

  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 Aerobotics7'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.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 79 days ago

The posting

Senior Machine Learning Engineer

Remote (India) · Full-time

About the Company:

Aerobotics7 (A7) is a growing, stealth-stage startup building AI and robotics to solve some of the critical challenges on the planet. Small team, high ownership, real hardware in the field. We'll share more once we're talking.

Position Overview:

Own every ML system at A7 end-to-end - from limited real + synthetic datasets to models running in real time on the robot - as the only ML engineer, setting the technical direction for our next phase of development and deployment.

This is not a "train a model and hand it off" role. You build the data pipeline, the models, the evaluation, and the deployment stack. You define the ML roadmap and, as we grow, hire and lead the team behind it.

Key Responsibilities

  • The full ML lifecycle: custom model development, data to training to evaluation to edge/cloud deployment to monitoring to iteration.
  • Object detection and classification on hard, low-signal sensor data (radar, LiDAR, camera), including multi-sensor fusion.
  • Our synthetic data strategy: generation, sim-to-real domain gap, domain adaptation and randomization.
  • Real-time inference on-device (NVIDIA Jetson AGX Orin) and at scale in the cloud.
  • ML infrastructure from scratch: experiment tracking, dataset/model versioning, reproducible training, evaluation harnesses.
  • The ML roadmap. You set priorities with the founders and are accountable for outcomes, not experiments.

Must-have

  • 5+ years applied ML shipping models into production, not research-only.
  • Deep, hands-on work with modern transformer-based detection: DETR family (Deformable DETR, DINO-DETR), self-supervised backbones (DINOv2), or equivalent and newer architectures. You can explain the tradeoffs and when to reach for each. Off-the-shelf YOLO fine-tuning or LLM-generated pipelines you can't defend line by line are not what we're looking for.
  • Low-data expertise: transfer learning, self-supervised / semi-supervised / few-shot, augmentation, active learning. You know how to get a strong model from a small labeled set.
  • Synthetic-data training: you've trained on simulated data and closed the sim-to-real gap in a real system.
  • Edge deployment: NVIDIA Jetson / AGX Orin, TensorRT, ONNX, quantization/pruning, latency and memory optimization.
  • PyTorch fluency and strong Python.
  • MLOps ownership: experiment tracking (W&B/MLflow), data/model versioning (e.g. DVC), reproducible pipelines.
  • Self-direction: comfortable as the only ML person, working through ambiguity, owning decisions.
  • Strong async written communication, and several hours of daily overlap with US Pacific time.

Strong plus

  • Ground-penetrating radar, radar/signal processing, or geophysics.
  • 3D / point-cloud ML.
  • Cloud training and serving (AWS or GCP).
  • C++ for edge/performance work.
  • ROS2 or robotics/perception exposure.
  • Track record of growing into a team lead.

Why this role is different

You are the ML function. What you build ships to a robot in the field, not a slide. You'll have datasets that don't exist anywhere else, hard problems worth solving, and the autonomy to solve them your way. If you want scope, ownership, and the chance to build an ML org from its first engineer up, this is that seat.

Logistics

  • Location: Remote, India-based.
  • Hours: Daily overlap with US Pacific time required.
  • Start: Immediate.
  • Compensation: ₹18-30 LPA CTC, based on skills and experience.
  • Equity: strong stock options based on eligibility, performance and tenure.

Note: This role sits under Aerobotics7 Inventions Pvt. Ltd., our Indian entity. Compensation is aligned to Indian market standards. Our parent company is US-based; this position is for candidates residing and working in India.

How to Apply

Apply in Dover (https://app.dover.com/apply/Aerobotics7/41e08db2-c5a4-4bb6-be52-36c81ed012cd?rs=42706078) using your resume plus a GitHub or portfolio link (required). If any question email us at [email protected]. A short note on relevant work is welcome but optional. If your best work is closed-source, tell us what you built and what you owned.

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 Aerobotics7'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 Aerobotics7'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

    Aerobotics7'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.