AssemblyAI

Senior Researcher, Deep Learning

As a Senior Researcher at AssemblyAI, you will be responsible for developing cutting-edge AI models in Speech and Natural Language Processing (NLP). You will write and optimize training code for large-scale models with billions of parameters using JAX/TPUs, ensuring efficient memory utilization and optimal performance. This role involves staying up-to-date on the latest AI research, collaborating with the technology leadership team to prioritize research and engineering, and leading project execution. You'll work closely with engineers on data creation, filtering, and model deployment. The goal is to advance research initiatives for large-scale deployment and solve real-world use cases.

<div><h2><strong>About AssemblyAI</strong></h2> <p>At AssemblyAI, we’re building at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding available through a straightforward API. With more than 200,000 developers building on our API and over 5,000 paying customers, AssemblyAI is helping unlock and support the next generation of powerful, meaningful products built with AI.&nbsp;</p> <p>Progress in AI is moving at an unprecedented pace– and our team is made up of experts in AI research that are focused on making sure that our customers are able to stay on the cutting edge, with production-ready AI models that are constantly updating and improving as our team continues to improve accuracy, latency, and what’s possible with Speech AI. Our models consistently rank highest in industry benchmarks for accuracy, outperforming models from Google and Amazon, and up to 30% fewer hallucinations than OpenAI’s Whisper. Our models power more than 2 billion end-user experiences each day, helping companies better understand customer feedback, run more productive meetings with automated meeting notes, and helping improve childhood literacy via ed tech tools.&nbsp;</p> <p>We’ve raised funding by leading investors including Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. We’re a remote team looking to build one of the next great AI companies, and are looking for driven, talented people to help us get there!</p></div><div><h2><strong>About the role:</strong></h2> <p>We are seeking a Senior Researcher to join our Research team. AssemblyAI's core strengths include developing best-in-class AI models in Speech and Natural Language Processing (NLP), writing optimized inference code, and serving models at scale with low latency and high availability. This role demands expertise in both applied research and engineering in Deep Learning. Key responsibilities include: Writing efficient, high-performance training code for large-scale models with billions of parameters on TPU clusters, optimizing code for both training and inference, rigorously evaluating models to ensure quality and performance, and collaborating closely with engineers to support data creation, data filtering, and model deployment. The ideal candidate will possess a fine-grained understanding of deep learning research and engineering, spanning both software and hardware. As a startup, we require the candidate to be flexible and willing to work across various stages of the Speech AI model lifecycle, from data processing to model training and analysis. The candidate should also proactively expand the scope of work with the goal of getting the models into production to delight customers. They will play a pivotal role in advancing major research initiatives designed for large-scale deployment to solve real-world use cases.</p> <h2><strong>What You’ll Do:</strong></h2> <ul> <li>Train large-scale Speech AI models, including ASR and speech-focused multi-modal LLMs with billions of parameters.</li> <li>Write and optimize training code for maximum efficiency and memory utilization.</li> <li>Stay up-to-date on the latest AI research and share insights across the company.</li> <li>Collaborate with the technology leadership team to prioritize the research and engineering agenda, define project scopes, and lead their execution.</li> </ul> <h2><strong>What You’ll Need:</strong></h2> <ul> <li>2+ years of professional experience in deep learning research &amp; development focusing on speech recognition or natural language processing.</li> <li>Demonstrated experience in all aspects of deep learning model development, including data acquisition and processing, implementation, model training, experimental analysis, and writing inference and evaluation code as an individual contributor.&nbsp;</li> <li>Hands-on experience with JAX/TPUs and distributed training.&nbsp;</li> <li>Excellent knowledge of GPU and TPU hardware.&nbsp;</li> <li>Strong Python programming skills.&nbsp;</li> <li>Strong written and verbal communication skills for technical matters.&nbsp;</li> </ul> <h2><strong>Nice to Have:</strong></h2> <ul> <li>Experience in training/fine-tuning (multimodal) Large Language Models.&nbsp;</li> <li>Experience in LLM inference using frameworks like vLLM or JetStream.&nbsp;</li> </ul> <h2><strong>You may be a great fit if you are:</strong></h2> <ul> <li>Highly self-motivated and keen to have real-world impact.&nbsp;</li> <li>Detail-oriented, analytical, and creative problem solver.&nbsp;</li> <li>Meticulous in all aspects (code, data, modeling, ...).&nbsp;</li> <li>Able to work effectively in a team-oriented, collaborative environment.&nbsp;</li> </ul> <p><strong>Pay Transparency:</strong></p> <p>AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.</p> <p>There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.</p> <p>Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.</p> <h2>Salary range: $215K - $275K</h2></div><div><h2><span style="font-size: 10pt;"><strong>Working at AssemblyAI</strong></span></h2> <p>We are a small but mighty group of startup veterans and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join our team who are ambitious, curious, and lead with integrity. We’re still in the early days of AI and of AssemblyAI’s journey, and are looking for teammates who won’t just fit in, but will help us define and build our company culture.&nbsp;</p> <p>We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!</p> <p><span style="font-size: 10pt;"><strong>Keep Exploring AssemblyAI:</strong></span></p> <p style="line-height: 1;"><span style="font-size: 10pt;"><a href="https://www.youtube.com/@AssemblyAI">Check us out on YouTube!</a></span></p> <p style="line-height: 1;"><span style="font-size: 10pt;"><a href="https://www.assemblyai.com/research/universal-1">Learn more about AI models for speech recognition</a></span></p> <p style="line-height: 1;"><span style="font-size: 10pt;"><a href="https://www.assemblyai.com/products/core-transcription">Core Transcription</a> | <a href="https://www.assemblyai.com/products/audio-intelligence">Audio Intelligence</a> | <a href="https://www.assemblyai.com/blog/lemur-early-access/">LeMUR</a> | <a href="https://www.assemblyai.com/playground/source">Try the Playground</a></span></p> <p style="line-height: 1;"><span style="font-size: 10pt;"><a href="https://www.assemblyai.com/blog/announcing-our-50m-series-c-to-build-superhuman-speech-ai-models/">Our $50M Series C fundraise</a></span></p></div></div>

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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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