llnl

Computational Biology - Postdoctoral Researcher

Business Manager - Innovation & Partnerships Office

Machine Learning and Computer Vision Postdoctoral Researcher

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Nuclear Facility Operator

Program Group Leader for Subcritical Experiments Engineering

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This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. The selected candidate will conduct research in computational microbiology, focusing on microbial ecology and community engineering, developing models of metabolism in bacteria and algae, and investigating symbiotic interactions. The role involves designing experiments, analyzing data, collaborating with biologists, developing computational tools, and publishing research. The position requires full-time on-site presence due to the nature of the work. This role is designed to promote cutting-edge science, requiring interactions with experimental biologists on a day-to-day basis.

Document Coordinator/Subcritical Experiments Program - Active Security Clearance Required

<div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Company Description</h2></div><div class="wysiwyg"><p><strong>Join us and make YOUR mark on the World!</strong></p><p>Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.</p><p>We are dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory’s mission.</p><p><strong>Pay Range</strong></p><p>$9,907 monthly</p></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Job Description</h2></div><div class="wysiwyg" itemprop="responsibilities"><p>Note: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years.</p><p>We have an opening for a <strong>Postdoctoral Researcher</strong> to conduct research in the areas of computational systems biology. This research will involve development and use of detailed system-level models of metabolism in microbial communities and development of novel constraint-based modeling methods.&nbsp; These models and tools will be used to examine the biochemical mechanisms of intercellular interactions. This research could involve development of multiple types of models including genome-scale steady state models, reaction-transport dynamic models, and some ML models.&nbsp; Some of the modeling efforts involve use of LLNL’s high-performance computing. The position is part of a larger project aiming to develop comprehensive understanding of the systems level resource allocation consequences of microscale symbioses between microbes and bioenergy and bioproduct relevant crops (<a href="https://bio-sfa.llnl.gov">https://bio-sfa.llnl.gov</a>). The purpose of this appointment is to promote cutting-edge science and requires day-to-day interactions with experimental biologists.&nbsp; This position is in the Biochemical and Biophysical Systems group of the Biosciences and Biotechnology Division.&nbsp;</p><p><em>This position requires full-time on-site presence due to the nature of the work.</em></p><p><strong>You will&nbsp;</strong></p><ul><li>Conduct research in computational microbiology in the areas of microbial ecology and microbial community engineering.</li><li>Develop genome-scale models of metabolism in bacteria and algae.</li><li>Develop spatially multiscale dynamic reaction and transport models of biophysical systems.</li><li>Investigate the system-level underpinnings of processes involved in symbiotic interactions between algae and bacteria in co-cultured communities.&nbsp;</li><li>Examining interaction between microbes and the surrounding medium using methods such as dynamic flux balance analysis and flux sampling.</li><li>Contribute to the conception, design and execution of experiments and in silico analyses to address defined problems.</li><li>Communicate with experimental biologists for systems biology studies.</li><li>Develop new computational tools for high performance computing studies.</li><li>Work in a collaborative multidisciplinary team environment to accomplish goals.</li><li>Publish research in peer-reviewed journals and present research at conferences.</li><li>Perform other duties as assigned.</li></ul></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Qualifications</h2></div><div class="wysiwyg" itemprop="qualifications"><ul><li>Recent PhD in microbiology, bioengineering, computer science, chemistry/biochemistry, physics or related field.</li><li>Demonstrated understanding of the concepts of microbial physiology (particularly metabolism), systems biology and dynamics of multi-cellular communities.</li><li>Previous experience in mathematical modeling of networks.</li><li>Experience in bioinformatics and computational analyses.</li><li>Familiarity with system-level modeling methods like FBA and tools like COBRA.</li><li>Demonstrated effective communication skills through publication of journal articles and presentations at seminars and scientific meetings.</li><li>Demonstrated leadership skills with desire and ability to work in a collaborative, multidisciplinary team environment.&nbsp;&nbsp;</li></ul><p><strong>Qualifications We Desire</strong></p><ul><li>Familiarity with programming for parallel computing.</li><li>Experience using tools of linear programming and operations research.</li></ul></div><div><p class="googlejobs-paragraph--empty"></p><h2 class="title">Additional Information</h2></div><div class="wysiwyg" itemprop="incentives"><p>#LI-Onsite</p><div sr-tagline=""></div><p><strong>Position Information</strong></p><p>This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.</p> <p><strong>Why Lawrence Livermore National Laboratory?</strong></p><ul><li>Included in 2025 Best Places to Work by Glassdoor!</li><li>Flexible&nbsp;<a href="https://www.llnl.gov/join-our-team/culture/benefits">Benefits Package</a></li><li>401(k)</li><li>Relocation Assistance</li><li>Education Reimbursement Program</li><li>Flexible schedules (*depending on project needs)</li><li>Our values - visit&nbsp;<a href="https://www.llnl.gov/diversity/our-values">https://www.llnl.gov/inclusion/our-values</a></li></ul> <p><strong>Security Clearance</strong></p><p>None required.&nbsp;&nbsp;However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process.&nbsp; This process includes completing an online background investigation form and receiving approval of the background check.&nbsp; (This process does not apply to foreign nationals.)&nbsp;</p> <p><strong>National Defense Authorization Act (NDAA)</strong></p><p>The 2025 National Defense Authorization Act (NDAA), Section 3112, generally prohibits citizens of China, Russia, Iran and North Korea without dual US citizenship or legal permanent residence from accessing specific non-public areas of national security or nuclear weapons facilities. &nbsp;The restrictions of NDAA Section 3112 apply to this position. &nbsp;To be qualified for this position, Candidates must be eligible to access the Laboratory in compliance with Section 3112.</p> <p><strong>Pre-Employment Drug Test</strong></p><p>External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.</p> <p><strong>Wireless and Medical Devices</strong></p><p>Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use&nbsp;and/or possession of&nbsp;mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where&nbsp;you are not permitted to have a personal and/or laboratory mobile device&nbsp;in your possession.&nbsp; This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.&nbsp;&nbsp;</p><p>If&nbsp;you use&nbsp;a&nbsp;medical device, which&nbsp;pairs with a mobile device,&nbsp;you must still follow the rules concerning&nbsp;the mobile device in individual sections within Limited Areas.&nbsp; Sensitive Compartmented Information Facilities require&nbsp;separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.</p> <p><strong>How to identify fake job advertisements</strong></p><p>Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.</p><p>To learn more about recruitment scams:&nbsp;<a href="https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf">https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf</a></p> <p><strong>Equal Employment Opportunity</strong></p><p>We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.</p><p><strong>Reasonable Accommodation</strong></p><p>Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.&nbsp; If you need a reasonable accommodation during the application or the recruiting process, please use our <a href="https://www.llnl.gov/join-our-team/careers/accessibility">online form</a> to submit a request.&nbsp;</p> <p><strong>California&nbsp;Privacy Notice</strong></p><p>The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles&nbsp;job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed <a href="https://www.llnl.gov/join-our-team/careers/privacy-statement">here</a>.</p></div>

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<p>- This assessment gives us an idea of your C++ skills<br>- Companies that evaluate this skillset in interviews: <strong>Rockstar Games, Ubisoft, Mayhem Studios, etc.</strong><br>- 10 Multiple Choice questions<br>- Average time to complete: <strong>7 to 10 minutes</strong></p>

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<p>Let's assess your Programming Patterns! 📋</p><p>- This assessment gives us an idea of your code architecture skills<br>- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.<br>- 10 Multiple Choice<strong> </strong>questions<br>- Average time to complete: 7<strong> </strong>to 10 minutes</p>

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<p>Let's assess your Unity Skills 📋<br><br>- This assessment gives us an idea of your Unity fundamentals<br>- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.<br>- 9 questions: 9 Multiple Choice<br>- Minimum score needed to qualify: 80%<br>- Average time to complete: 5 to 10 minutes</p>

Roblox

Distinguished Engineer, Machine Learning - Safety

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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.

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<div class="content-intro"><p><span>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. </span></p> <p><span>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.</span><strong> </strong><span>We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. </span></p> <p><span>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.</span></p></div><p>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. </p> <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><strong>You Are: </strong></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"><p>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.</p></div><div class="title">Annual Salary Range</div><div class="pay-range"><span>$391,590</span><span class="divider">—</span><span>$448,990 USD</span></div></div></div><div class="content-conclusion"><p>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).</p> <p><strong>You’ll Love: </strong></p> <ul> <li><span>Industry-leading compensation package</span></li> <li><span>Excellent medical, dental, and vision coverage</span></li> <li><span>A rewarding 401k program</span></li> <li><span>Flexible vacation policy (varies by exemption status)</span></li> <li><span>Roflex - Flexible and supportive work policy </span></li> <li><span>Roblox Admin badge for your avatar</span></li> <li><span>At Roblox HQ: </span></li> <ul> <li><span>Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks</span></li> <li><span>Onsite fitness center and fitness program credit</span></li> <li><span>Annual CalTrain Go Pass</span></li> </ul> </ul> <p>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. 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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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