National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer, Ads Contextual Intelligence Remote - United Kingdom

Reddit, Inc.
united kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Remote - United Kingdom

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit has a flexible first workforce! If you happen to live close to our physical office location, our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely from the Netherlands or the United Kingdom.

TheAds Contextual Intelligence (ACI)team is responsible for all the “contextualization” projects within the Reddit Monetization charter. We are in charge of making sense of all user and advertiser-generated content in an automated fashion at scale, providing the right combination of signals to improve marketplace efficiency and bringing to the surface Business Intelligence insights. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus in the following areas:

  • Contextual Signals & Relevance- Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) content via classification into interpretable tags and embedding into a shared space.
  • Safety & Suitability- Build in-house classification capabilities for the detection of sensitive & unsafe content in Reddit content to ensure Brand Safety and suitability of ads for users.
  • Knowledge Graph- Semi-automatic curation, expansion, and utilization of Reddit's very own Knowledge database. NLP tokenization, NER models, disambiguation systems at KG node level.
  • Marketplace Efficiency- Helping Targeting, Retrieval, Ranking, and Marketplace Quality deliver best-in-class performance leveraging our Contextual Signals.
  • Business Intelligence Applications- Bring Contextual Signals (Web, APIs, Custom Reporting) to Advertisers and other businesses to empower a new generation of Business Intelligence and help Brands understand Reddit better.

As aSenior ML Engineer, you’ll be in charge of the full cycle execution of content understanding projects - from collaborating with cross-functional teams on requirements and design to the implementation and experimentation.

Responsibilities

  • Developing new or iterating on existing NLP algorithms and models for advertising use cases, such as NER, text classification, text embedding models, etc.
  • Building data processing pipelines & APIs that make the signals and annotations computed with those models available.
  • Hands-on help and consulting for the integration of contextual signals into downstream optimization models (Ad Targeting, Ad Ranking, etc.).
  • Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
  • Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
  • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.

Required Qualifications:

  • 5+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
  • Experience building NLP models and integrating them at scale.
  • Experience with mainstream DL frameworks: TensorFlow or PyTorch.
  • Excitement about working with data and readiness to look behind the metric numbers.

Preferred Qualifications:

  • Tech leadership experience: mentoring junior engineers and leading complex projects.
  • Experience with our stack (Python, Golang, Airflow, BigQuery, Ray, k8s, kafka, GCP/AWS).
  • Familiarity with the Ads domain and/or Search/Recommender systems is a strong plus.
  • Hands-on experience with using/fine-tuning/building LLMs.

Benefits:

  • Pension Scheme
  • Private Medical and Dental Scheme
  • Life Assurance, Income Protection
  • Workspace benefit for your home office
  • Family Planning Support
  • Flexible Vacation & Reddit Global Days Off

Reddit is proud to be an equal opportunity employer and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at .

Apply for this job#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.