368,634open jobs
9,437companies
50,578added this week
Browse all
Salary
$220k – $275k per year
Location
In office (San Francisco)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Discord is a voice, video, and text communication platform that enables users to create and join topic-based public and private communities known as "servers." Originally launched in 2015 to support multiplayer video gaming communities, the platform has expanded into a general-purpose hub for interest groups, educational communities, remote teams, and content creators. Through persistent text channels, real-time voice chat rooms, direct messaging, screen sharing, and third-party bot integrations, Discord provides scalable communication tools for millions of active communities worldwide.

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.

We are looking for a Senior Software Engineer specializing in Machine Learning to join our Revenue ML team at Discord. This team partners with our revenue product groups, focusing on both consumer revenue and our emerging Ads initiative. This role will specifically contribute to our Ads ML efforts, helping to build and scale ML capabilities in areas such as ads measurement, targeting, and delivery ranking.

As part of this team, you will play a critical role in developing foundational ML models that enhance ad relevance, optimize performance, and drive revenue. This is a unique opportunity to work on an early-stage Ads ML platform and have a direct impact on the business's success. Our tech stack includes Python, ML frameworks like PyTorch and TensorFlow, large-scale data infrastructure, and real-time ad-serving technologies.

What You'll Be Doing:

  • Design, develop, and deploy machine learning models for ads targeting and ranking.
  • Develop sophisticated ML solutions such as identity graph to enhance ad targeting.
  • Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click).
  • Improve ads targeting and ranking by leveraging both on-platform and off-platform signals.
  • Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap.
  • Scale our ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making.
  • Drive research and implementation of state-of-the-art ML techniques in the field of online advertising.

What You Should Have:

  • 5+ years of experience as a Machine Learning Engineer or Data Scientist.
  • 3+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement).
  • Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with applied deep learning (e.g transformers, embedding models).
  • Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications.
  • Experience working with real-time ML inference, A/B testing, and optimization frameworks.
  • Experience translating ML evaluation results and performance metrics into actionable product roadmap items.
  • Ability to connect business objectives to ML solutions, with the flexibility to shift focus toward the highest-impact problems as priorities evolve.

Bonus Skills:

  • Strong understanding of performance advertising and how ML impacts revenue and advertiser retention.
  • Knowledge of ad tech industry standards and ads ecosystem including targeting, retrieval, ranking, pacing, frequency, auction, etc.
  • Experience with large-scale recommendation systems.
  • Experience with large-scale data infrastructure and distributed computing

The US base salary range for this full-time position is $220,000 to $275,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord? 

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking  HERE.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,634 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$98k – $132k per year • Remote • Full-Time • 5+ years exp • Bachelor's Degree
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$98k – $132k per year • Remote • Full-Time • 5+ years exp • Bachelor's Degree
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$98k – $132k per year • Remote • Full-Time • 5+ years exp • Bachelor's Degree
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$98k – $132k per year • Remote • Full-Time • 5+ years exp • Bachelor's Degree
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$98k – $132k per year • Remote • Full-Time • 5+ years exp • Bachelor's Degree
Python
R
SQL
Databases
Databricks
Snowflake
AI/ML
Embeddings
LangChain
LangGraph
LLM
NumPy
Pandas
Scikit-learn
Spark
TensorFlow
Transformers
Hugging Face
RAG
Analytics
Matplotlib
Seaborn
Apply
$248k – $310k per year • In office • Full-Time • 8+ years exp • San Francisco
Elixir
Go
JavaScript
Python
Rust
Swift
TypeScript
Python
Django
Flask
Databases
Apache Kafka
Cassandra
PostgreSQL
ScyllaDB
AI/ML
Claude
Claude Code
Cursor
Lovable
Frontend
React.js
DevOps
Datadog
Apply
$272k – $306k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
LLM
Apply
$221k – $245k per year • In office • Full-Time • 2+ years exp • Master's Degree • San Francisco
Python
SQL
Apply
$188k – $212k per year • In office • Full-Time • 5+ years exp • San Francisco
Design
Figma
Apply
$248k – $310k per year • In office • Full-Time • 5+ years exp • San Francisco
AI/ML
LLM
Human-in-the-Loop
Apply
$293k – $385k per year • In office • Full-Time • San Francisco
AI/ML
OpenAI
Apply
$180k – $260k per year • Remote/Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • San Francisco
Python
AI/ML
ChatGPT
OpenAI
OpenAI Codex
Cybersecurity
FedRAMP
Apply
$180k – $210k per year • Equity • In office • Full-Time • San Francisco
Node JS
JavaScript
Databases
PostgreSQL
DevOps
PagerDuty
Web3
TRM Labs
Management
Slack
Apply
$252k – $335k per year • Remote/Hybrid • Full-Time • 8+ years exp • San Francisco
AI/ML
ChatGPT
Human-in-the-Loop
OpenAI
OpenAI Codex
DevOps
SLI/SLO/SLA
Apply
$223k – $424k per year (Estimated) • In office • Bachelor's Degree • San Francisco
AI/ML
AI Agents
LLM
Recommender Systems
Apply
See all jobs
This is one of many
368,634 more open roles from verified company boards, updated every day.