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

Open nowFirst seen 33 hours ago

Senior Machine Learning Engineer

TechStarsGroup34 open roles

Where
Los Angeles, California, United States, Remote
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowSenior Machine Learning EngineerTechStarsGroup · Los Angeles, California, United States, Remote

  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 TechStarsGroup'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.

11.5% 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. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 33 hours ago

The posting

Our client is on a mission to transform healthcare using the power of artificial intelligence. We are dedicated to leveraging AI to make a significant impact on healthcare, aiming to enhance patient care by making every patient's journey a cornerstone for healthcare decisions. Our goal is to improve treatment outcomes and accelerate drug discovery by analyzing patient health records to provide accurate and timely care. If you are passionate about advancing healthcare through innovative technology, we invite you to join us in pioneering the future.

Role Overview:

In the role of Senior Machine Learning Engineer, you will play a pivotal role in our data team, tasked with the design, construction, and maintenance of ML pipelines and services. Your main responsibilities will include the development and refinement of ML training and inference pipelines, ensuring their efficiency, reliability, and accessibility to boost AI practitioner productivity and reduce cycle times. Collaborating closely with product engineers, data scientists, analysts, and other key stakeholders, you will support data-driven decision-making and enhance business intelligence.

Key Responsibilities:

- Engineer, implement, and deploy machine learning models into live environments.

- Construct and maintain robust ML training and inference pipelines utilizing MLFlow and Kubeflow.

- Collaborate with the data science team to scale their algorithms effectively.

- Guarantee the performance, quality, and responsiveness of deployed models.

- Work alongside cross-functional teams to conceptualize, design, and launch new functionalities.

- Proactively explore, assess, and integrate new technologies to enhance development efficiency.

Qualifications:

- A Bachelors degree in Computer Science, Statistics, Mathematics, or a related field, with a preference for advanced degrees.

- At least 5 years of experience in crafting ML training and inference pipelines using MLFlow, Kubeflow on GCP.

- Profound knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.

- Proficiency in programming languages such as Python, Java, Scala.

- Practical experience with machine learning algorithms, processes, tools, and platforms, including Python, TensorFlow, PyTorch, etc.

- Familiarity with cloud services (GCP, AWS, Azure).

- Exceptional problem-solving abilities and teamwork skills.

Additional Skills:

- Implementation of data quality checks and governance processes to ensure data integrity and compliance with privacy and security regulations.

- Optimization of pipelines and queries for enhanced performance and scalability.

- Effective collaboration with cross-functional teams to meet data requirements.

- Continuous learning and evaluation of new data engineering technologies and tools.

Desirable Skills:

- Experience with data streaming technologies like Apache Kafka.

- Knowledge in ELT and ETL processes for feature extraction.

- Proficiency in data visualization tools such as Tableau, Power BI.

- Certifications in relevant data engineering technologies.

This role is crucial for developing our data infrastructure and ensuring the availability and reliability of data for analysis. Your expertise in data engineering will be instrumental in driving our organization's data-driven strategies and overall success.

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 TechStarsGroup'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 TechStarsGroup'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

    TechStarsGroup'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.