Senior Machine Learning Engineer, Top Of Funnel

Senior Machine Learning Engineer, Top Of Funnel

Full-Time Home office (partial)
A

At a Glance

  • Tasks: Join Reddit's Top of Funnel team to enhance user growth through machine learning.
  • Company: Be part of Reddit, a leading platform fostering community and engagement.
  • Benefits: Enjoy flexible vacation, health benefits, and a supportive work environment.
  • Other info: Collaborative culture focused on personal growth and innovative problem-solving.
  • Why this job: Make a real impact by transforming new users into engaged community members.
  • Qualifications: 2+ years in deep learning and experience with TensorFlow or PyTorch required.

Machine Learning Deep Learning Pytorch Data Science Tensorflow

Join Reddit's Top of Funnel team and play a key role in user growth. Leverage your expertise in machine learning and search engines to introduce Reddit to new users and transform them into engaged members of the community. As a core member, you'll use vast amounts of user data to enhance Reddit's ability to attract, engage, and guide new users. You will own projects from ideation to production, collaborating with a talented, cross‑functional team to solve hard problems and create experiences that users will love. The team values impact, personal growth, openness, and kindness.

Responsibilities

  • Collaborate on projects with other Top of Funnel engineers, applying Machine Learning to solve discovery, relevance, and recommendation problems.
  • Build and deploy sophisticated machine learning models to improve experiences for millions of users.
  • Participate in the full software development cycle: design, develop, QA, deploy, experiment, analyze, and iterate.
  • Collaborate across disciplines and with other ML teams at Reddit to find technical solutions to complex challenges.
  • Be a mentor and cross‑functional advocate for the team.

Qualifications

  • 2+ years of experience with industry‑level deep learning models.
  • 2+ years of experience with mainstream ML frameworks (such as TensorFlow and PyTorch).
  • 4+ years of end‑to‑end experience of training, evaluating, testing, and deploying industry‑level models.
  • 4+ years of experience of orchestrating complicated data generation pipelines on large‑scale datasets.
  • Successful track record of productionizing and applying machine learning techniques in addressing real‑world problems end to end.
  • Comfort analyzing high‑volume natural language and multimodal data from varying sources, proficient with SQL.
  • Experience communicating complex research and ideas in a clear, precise, and actionable manner.
  • Experience working with data‑intensive systems and writing production‑quality software (preferred Python or Go).

Nice to have

  • Experience in content recommendations and content personalization.
  • Passionate about building delightful products for users.

Benefits

  • Group Personal Pension Scheme with Employer match.
  • Private Medical and Dental Scheme.
  • Income Replacement Programs.
  • Family Planning Support.
  • Gender‑Affirming Care.
  • Mental Health & Coaching Benefits.
  • Bike to Work scheme.
  • Flexible Vacation & Reddit Global Days Off.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.

#J-18808-Ljbffr

Senior Machine Learning Engineer, Top Of Funnel employer: Alien Blue

As a leading tech company in the United Kingdom, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from competitive perks such as a robust pension scheme and comprehensive medical support, alongside ample opportunities for professional growth and mentorship within a supportive team environment. Join us to make a meaningful impact while advancing your career in a thriving industry.

A

Contact Details:

Alien Blue Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Engineer, Top Of Funnel

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Alien Blue!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Machine Learning Engineer, Top Of Funnel at Alien Blue.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Alien Blue.

Apply Directly through Our Website

When you find a suitable opening like Senior Machine Learning Engineer, Top Of Funnel at Alien Blue, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Machine Learning Engineer, Top Of Funnel

Machine Learning
Deep Learning
PyTorch
TensorFlow
Data Science
End-to-End Model Deployment
Data Generation Pipelines

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Alien Blue, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Alien Blue. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Alien Blue

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Alien Blue!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.