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

Open nowPosted 27 days ago

Senior AI/ML Engineer

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 9,000 a month
Where
West, Singapore
Get the CV for this job

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

Your applicationOpen nowSenior AI/ML EngineerMyCareersFuture · West, Singapore

  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 MyCareersFuture'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.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 27 days ago

The posting

About our group:

Seagate Research Group (SRG) drives innovation by combining Seagate’s deep technical expertise, world-class manufacturing, and cutting-edge research. Our mission is to explore transformative technologies that shape the rapidly growing datasphere.

Within SRG, Applied AI Research team applies advanced Machine Learning (ML) methods to accelerate Seagate’s next-generation projects, products, and processes.

About the role - you will:

We are looking for a Data Scientist or AI/ML Engineer to build state-of-the-art models and proof-of-concepts. In this role, you will design, implement, and deploy advanced ML solutions. Depending on your expertise and interests, you will focus on one of the following key tracks:

  • Scientific ML & Discovery: Novel material discovery at the nanoscale, atomistic-scale ML surrogates, and physics-informed ML for simulation.
  • Engineering Optimization: AI-driven engineering design for HDD components and predictive maintenance for performance reliability.
  • Systems Architecture: Optimization of data flow, storage architectures, and filesystem optimization (user and kernel space).

About you:

  • Innovate: Develop ML/DL models to solve complex physical engineering and system problems.
  • Simulate: Build surrogate models to accelerate computationally expensive Finite Element simulations.
  • Optimize: Apply Reinforcement Learning or evolutionary algorithms to engineering design and storage systems.
  • Collaborate: Bridge the gap between domain experts (physicists, material scientists, firmware engineers) and AI implementation.
  • Mindset: A self-motivated and independent learner who collaborates effectively, solves problems creatively, and is eager to explore emerging technologies.

Your experience includes:

  • Education: PHD/Master’s degree in Computer Science, AI/ML, Applied Mathematics, Physics, or a related field.
  • Tech Stack: Proficiency in Python and frameworks like PyTorch or TensorFlow. Experience with C/C++ or Java is a plus.
  • Mathematical Foundation: Strong understanding of linear algebra, probability, statistics, optimization, and calculus.
  • ML Expertise: Hands-on experience in relevant areas such as supervised and unsupervised learning, deep learning, transformers, or generative AI—including GANs, VAEs, and diffusion models.
  • Candidates are expected to have depth in at least one of the following areas: Scientific Machine Learning (SciML): Experience with physics-informed neural networks (PINNs), neural operators such as Fourier neural operators (FNOs), or DeepONet. Generative Design: Using VAEs, GANs, and Diffusion Models for molecular/material structures. Graph Neural Networks (GNNs): Applied to structured data, molecules, or complex engineering systems. Optimization and Reinforcement Learning: Experience applying reinforcement learning, Bayesian optimization, evolutionary algorithms, or related techniques to engineering or systems optimization. Systems and Storage: For candidates specializing in systems architecture, strong knowledge of operating-system internals and low-level programming in C or C++ is essential.
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 MyCareersFuture'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 MyCareersFuture'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

    MyCareersFuture'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.