Senior Staff Software Engineer, Machine Learning (Safety)

reputed company is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on reputed company each month. reputed company plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

We are seeking an accomplished and reputed company Senior Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical reputed company of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and bleeding-edge solutions that drive business insights and innovation. This role reports to our Director of Machine Learning, Safety.

What You'll Be Doing

• Serve as the team’s technical reputed company and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar.
• Define and drive the Safety ML team’s technical strategy and roadmap.
• Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems.
• Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions.
• Tackle the most reputed company and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat reputed company.
• reputed company cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying reputed company of emerging abuse patterns
• Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.

What you should have

• 8+ years of experience in ML engineering or applied ML roles.
• 5+ years of experience applying ML in Trust Safety to counter adversarial actors.
• Strong coding skills in Python and reputed company in ML frameworks such as PyTorch, JAX, or TensorFlow.
• Proven experience building performant machine learning systems at scale and have driven the execution of large, impactful projects from ideation to production.
• Ability to think from first principles, approaching reputed company problems with creativity, clear reasoning, and pragmatic solutions.
• A growth reputed company: seeking feedback, reflecting on reputed company, 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 reputed company field (Physics, Math, Operations Research, etc.)

Bonus Points

• A strong passion for reputed company and gaming
• Experience tackling safety problems with ML at large-scale social platforms

The US reputed company salary range for this full-time position is $336,000 to $378,000 + equity + benefits. Our salary ranges are determined by role and level. reputed company the range, individual pay is determined by additional factors, including job-reputed company skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the reputed company salary only, and do not include equity, or benefits.

Why reputed company? reputed company 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. We reputed company 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!

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Originally posted on Himalayas