Join Discord as a Senior Machine Learning Engineer to build and deploy models that enhance user safety on the platform.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Analyze data to identify risk patterns
- Build and evaluate models that detect risk
- Work with partners to deliver ML solutions
- Deploy models into production systems
- Document modeling approaches and systems
Must have
- 4+ years of experience in ML engineering
- Strong coding skills in Python
- Fluency in ML frameworks such as PyTorch, JAX, or TensorFlow
- Experience building performant machine learning systems
- Excellent communication and collaboration skills
- Bachelor’s or Master’s degree in a related field
Requirements
- Experience
- 4+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Machine Learning Engineer focuses on developing and implementing machine learning models aimed at enhancing user safety on Discord, including systems for content understanding and risk assessment. Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow are essential, along with a strong background in building scalable ML systems. This position is well-suited for someone with over four years of experience in machine learning, particularly those who excel in cross-functional collaboration and problem-solving. The Safety ML team plays a critical role in ensuring a secure environment for Discord's vast user base.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 13, 2026. Last confirmed on Discord's careers page October 29, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 74% of 205 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 69 companies). See Python salary trends
- Python appears in 53.4% of 551 comparable senior ai/ml roles in United States; JAX appears in 3.8% of 551 comparable senior ai/ml roles in United States.
Quick facts
- What's the salary range?
- Discord lists $220,000–$247,500 for this role.
- How much experience is required?
- At least 4 years of relevant experience for this Senior Software Engineer, Machine Learning (Safety) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: JAX, PyTorch, Python, TensorFlow.
- What seniority level is this role?
- Discord targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Machine Learning (Safety) role at Discord.
From the original posting
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 seeking an experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role reports to the Senior Manager of Machine Learning, Safety.
What You'll Be Doing
- Analyze data to identify risk patterns and inform the design of machine learning models
- Build, iterate on, and evaluate models that detect risk and anomalous behavior
- Work with product, engineering, legal, and Trust and Safety partners to deliver effective ML solutions
- Work with partner teams in Trust & Safety to curate golden label sets at scale and improve data labeling techniques for model training
- Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance
- Document modeling approaches and systems, and apply current machine learning best practices
What you should have
- 4+ years of experience in ML engineering or applied ML roles.
- Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.
- Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production.
- Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions.
- A growth mindset: seeking feedback, reflecting on decisions, and continuously improving.
- Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc.
The base salary range for this full-time position is listed below. This position will also be eligible for equity and 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 role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Standard company text repeated across Discord's postings is omitted here.