Explore gaming industy jobs in one of the leading Game Studios.

Roblox

Distinguished Engineer, Machine Learning - Safety

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Distinguished Engineer, Machine Learning

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Senior Machine Learning Engineer

As a Distinguished Engineer in Machine Learning for Safety at Roblox, you will lead the technical vision and execution of machine learning initiatives to ensure user safety and civility. You will be responsible for crafting and building large-scale machine learning models, mentoring engineers, and collaborating with cross-functional teams. This role involves making technical decisions, ensuring system reliability, and contributing to a safe and inclusive environment. You will report to the VP of Engineering for Trust and Safety.

<div class="content-intro">Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>As a Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users. Our industry-leading safety features ensure Roblox remains a safe and inclusive environment for our community to express themselves creatively and share experiences without fear. The Safety org is the reason why Roblox is the safest place on the internet, protecting users You will be reporting to the VP of Engineering for Trust and Safety.from a content-focused perspective as the platform scales to serve different age groups and geographic locations. <h2>You Will:</h2> <ul> <li>Own the technical direction and implementation of machine learning solutions for safety-related systems</li> <li>Lead and mentor other engineers, fostering a culture of technical excellence and inclusivity</li> <li>Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement</li> <li>Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness</li> <li>Facilitate challenging technical decisions across multiple teams, demonstrating empathy and finding common understanding</li> <li>Collaborate with cross-functional teams to define and prioritize the machine learning roadmap</li> </ul> <h2>You Have:</h2> <ul> <li>15+ years of experience delivering and improving large-scale machine learning systems</li> <li>Proven expertise in creating and launching machine learning models from scratch</li> <li>Ability to handle data problems, train models with large datasets, and ensure system reliability at scale</li> <li>Experience with distributed systems, data architecture, and model extraction</li> <li>Strong programming skills and willingness to be hands-on as necessary</li> <li>Prior experience in a leadership role with a technical focus, including mentoring engineering teams</li> </ul> <h2>You Are: </h2> <ul> <li>A creative and strategic problem-solver, able to simplify complex issues while integrating fresh ideas</li> <li>Committed to fostering a diverse and inclusive workplace where everyone feels valued and supported</li> <li>Passionate about maintaining deep technical expertise while meeting end-user needs</li> <li>Knowledgeable about cutting-edge ML technologies, including LLMs</li> <li>Experienced in NLP or computer vision (preferred)</li> <li>Familiar with maintaining and evolving safety systems at scale (preferred)</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits.</div><div class="title">Annual Salary Range</div><div class="pay-range">$391,590—$448,990 USD</div></div></div><div class="content-conclusion">Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted). You’ll Love: <ul> <li>Industry-leading compensation package</li> <li>Excellent medical, dental, and vision coverage</li> <li>A rewarding 401k program</li> <li>Flexible vacation policy (varies by exemption status)</li> <li>Roflex - Flexible and supportive work policy </li> <li>Roblox Admin badge for your avatar</li> <li>At Roblox HQ: </li> <ul> <li>Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks</li> <li>Onsite fitness center and fitness program credit</li> <li>Annual CalTrain Go Pass</li> </ul> </ul> Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations for all candidates during the interview process.</div>

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Jane Street

Data Center Engineer

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The Senior Data Center Engineer will design, build, and maintain data center infrastructure. Responsibilities include designing new equipment deployments, coordinating logistics with internal teams and external providers, installing and configuring network and server equipment, and ensuring high standards of security and organization. The role requires collaboration with various teams, including Network, Server, and Facilities Engineering. This position offers a challenging environment using cutting-edge technologies. This is an on-site role.

Jane Street is a quantitative trading firm with offices in New York, London, Hong Kong, Singapore, and Amsterdam. We are always recruiting top candidates and we invest heavily in teaching and training. The environment at Jane Street is open, informal, intellectual, and fun. People grow into long careers here because there are always new and interesting problems to solve, systems to build, and theories to test.

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<h3>About the Position</h3> 
We’re looking for an experienced Senior Data Center Engineer to design, build, scale, and perform daily upkeep in our regional data center. This is a hands-on position that will require a strong communicator with excellent people skills who can manage projects and take ownership. 
You will join an interdisciplinary team made up of several groups across Jane Street, including our Network, Server, Facilities Engineering, Research, and Trading teams, along with some external data center operators, third-party contractors, and cabling, hardware, and telco vendors. You will collaborate with these stakeholders to: 
<ul> 
<li>Design plans for new equipment deployments using data center best practices</li> 
<li>Coordinate logistical tasks with internal teams and third-party providers</li> 
<li>Install, cable, configure, and troubleshoot different types of network and server equipment</li> 
<li>Install and configure server OS in a PXE environment</li> 
<li>Install and configure network equipment in a ZTP environment</li> 
<li>Ensure our data center upholds the highest standards in terms of security, organization, documentation, safety, cleanliness, and supply management</li> 
</ul> 
You’ll join our Data Center team in Austin, liaising daily with our New York counterparts. You’ll maintain strategic oversight of power, cooling, network, and compute infrastructure—leading incident investigations and projects. This role offers a challenging environment where you'll constantly use cutting-edge technologies and learn from the top engineers in the industry. Due to the nature of the job, remote work is not an option. 
<h3>About You</h3> 
<ul> 
<li>Have 5+ years of experience working in a data center environment with strong knowledge of data center best practices and cabling methodology</li> 
<li>Self-starter; motivated to work independently and improve processes where possible</li> 
<li>Thrive in a fast-paced setting that demands continuous learning and adaptation to new technologies</li> 
<li>Knowledgeable in networking fundamentals; can address Layer 2 and 3 connectivity issues</li> 
<li>Proficient in a Linux environment (Scripting skills in Bash or Python are a plus)</li> 
<li>Experienced with a variety of network and server hardware&nbsp;</li> 
<li>Experienced in installing, configuring, and maintaining GPU hardware within data center environments</li> 
<li>Can design, deploy, test, and troubleshoot both copper and fiber cabling</li> 
<li>Experienced in working with liquid cooling systems</li> 
<li>Able to lift up to 50 pounds and climb ladders for equipment installation</li> 
<li>Skilled in planning and coordinating work between various parties</li> 
<li>Ability to manage a site and mentor less experienced technicians is a plus</li> 
</ul> 
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

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