Assembly AI

Research Engineer, Evaluations

Senior Software Engineer, Machine Learning (EST or EMEA)

Senior Software Engineer, Go - LLM Team

Support Engineer

AssemblyAI is seeking a Senior Research Engineer for their streaming speech-to-text research team. This role involves owning evaluation infrastructure, benchmarking models, and translating customer feedback into quantifiable research targets. The engineer will work at the frontier of the voice agent ecosystem, ensuring evaluations reflect real-world integration scenarios and directly influencing research priorities. This is an entrepreneurial role with outsized impact on a rapidly growing product.

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Why AssemblyAI</h3>AssemblyAI builds the best-in-class Voice AI models powering the next generation of voice applications. Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences. The Voice AI space is at an inflection point; we’re looking for folks truly excited to join a small team and help define the future of the industry.We are one of the most capital-efficient AI companies on the planet - with under 100 people generating roughly $500K ARR per employee, we sit among the top 5 most revenue-dense teams within the fastest-growing AI companies today. That's not an accident; it's a deliberate choice to stay lean, move fast, and give every person on the team outsized ownership and impact. With thousands of customers including Granola, Fireflies, Figure AI, and CallRail, the company has real scale - processing over 2 million hours of audio daily and handling more than 1 million API calls every day. This is a rare growth-stage opportunity where the business is proven and the trajectory is steep, but the team is still small enough that your fingerprints are on everything.If you've ever felt buried under layers of bureaucracy, starved of real ownership, or frustrated watching your work disappear into a slow-moving org, AssemblyAI is built differently. The company operates as a true meritocracy, with no heavy planning or approval processes and no gatekeeping on the tools or information you need. For anyone who genuinely cares about voice AI, not as a trend to chase, but as a technology to build, this is the place where the most interesting problems at the most interesting scale are being solved by a team small enough that you'll actually know everyone's name.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!About the RoleWe are looking for a Senior Research Engineer to join our streaming speech-to-text research team—a new role that sits at the intersection of research, product, and engineering.You'll be the person who makes sure we're measuring the right things, benchmarking against the right competitors, building and extending evaluation tooling and translating customer pain points into quantifiable research targets. You'll own the evaluation infrastructure that tells us whether our models are actually better—and by how much.This role is ideal for someone with a Machine Learning / Research Engineering background who is obsessed with understanding what customers actually need, and who gets satisfaction from turning vague feedback ("the model feels slow") into concrete metrics that the whole team can align around. You're comfortable talking to customer-facing teams one hour, designing a new evaluation framework the next, and then convincing researchers why it matters.You'll also operate at the frontier of the voice agent ecosystem. Our streaming product integrates with orchestration frameworks like LiveKit, Pipecat, and Vapi, and you'll need to understand how ASR fits into the broader voice agent stack—alongside VAD, turn detection, TTS, and LLM components. As this stack evolves rapidly, you'll help ensure our evaluations reflect real-world integration scenarios.You'll work directly with our research and engineering teams and become the connective tissue between what customers need and what researchers build. If you're entrepreneurial, rigorous about measurement, and want to have an outsized impact on the success of a rapidly growing product, this is your role.What You'll DoEvaluation & Benchmarking<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Own end-to-end and integration-level model evaluation across accuracy, latency, and feature-specific metrics (e.g., turn detection latency, endpointing accuracy)</li><li class="leading-relaxed">Build and maintain competitive benchmarking pipelines against other providers in the market</li><li class="leading-relaxed">Design and run systematic experiments to measure the impact of model changes</li></ul>Dataset & Test Set Management<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Onboard, curate, and maintain evaluation datasets—both public benchmarks and internal test sets</li><li class="leading-relaxed">Create evaluation subsets that stress-test specific capabilities and edge cases</li></ul>Metric Development & Research Translation<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Define evaluation metrics that capture real-world performance</li><li class="leading-relaxed">Translate qualitative customer feedback into quantifiable evaluation criteria</li><li class="leading-relaxed">Work with customer-facing teams to understand pain points and convert them into research priorities</li></ul>Research Velocity<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Reduce friction for researchers by maintaining clean evaluation pipelines and clear documentation</li><li class="leading-relaxed">Identify evaluation gaps proactively and propose solutions</li><li class="leading-relaxed">Move fast—iterate on benchmarking approaches weekly, not monthly</li></ul>What You'll Need<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">ML fundamentals: You understand how ML models are trained and evaluated well enough to interpret results and debug issues. You don't need to train them from scratch.</li><li class="leading-relaxed">Strong Python skills: You can write clean evaluation scripts, work with data pipelines, and are comfortable with SQL and cloud infrastructure.</li><li class="leading-relaxed">Metric intuition: You understand what makes a good evaluation metric, when to use relative vs. absolute improvements, and how to ensure statistical rigor.</li><li class="leading-relaxed">Voice agent stack familiarity: You understand how the components of a voice agent system interact—VAD, ASR, turn detection, LLM, TTS—and can reason about how changes in one affect the others.</li><li class="leading-relaxed">Tinkerer mentality: You'd rather ship something rough and iterate than spend weeks perfecting it. You're energized by variety.</li><li class="leading-relaxed">Communication skills: You can explain technical results to researchers, summarize findings for leadership, and translate customer feedback into requirements.</li><li class="leading-relaxed">Ownership mindset: You don't wait to be told what to evaluate. You see gaps and fill them.</li><li class="leading-relaxed">Will need to work at least 3-4 hours overlapping with Eastern US Time Zone</li></ul>Nice to Have<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with speech/audio ML or real-time systems</li><li class="leading-relaxed">Hands-on experience with voice agent orchestrators (LiveKit, Pipecat, Vapi, or similar)</li><li class="leading-relaxed">Familiarity with standard ML evaluation practices and benchmarks</li><li class="leading-relaxed">Experience working with customer-facing or product teams</li><li class="leading-relaxed">Background in QA, data science, or applied ML roles</li></ul>What Success Looks LikeFirst 30 days: You've onboarded to our evaluation infrastructure, run your first competitive benchmark, and identified one gap in how we measure model quality.First 90 days: You own our competitive benchmarking process. Researchers come to you to understand how their changes affect real-world metrics. You've proposed a new metric for a capability we weren't measuring well.First 6 months: You're the go-to person for "how do we know if this is actually better?" You've built relationships with customer-facing teams. Your work directly influences which research directions we prioritize. You maintain benchmarks that reflect both standalone ASR quality and integrated voice agent performance.Pay Transparency: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, benefit, and other reward opportunities we provide.There are many factors that go into salary determinations, including relevant experience, skill level, 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 or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.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 will be communicated to candidates throughout the interview process.Salary range: $210,000 - $260,000<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">AI to Interview:</h3>If you’re selected for an interview, please review this <a href="https://www.assemblyai.com/candidate-ai-guidance" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">resource</a> to better understand how AssemblyAI approaches the use of AI in our interview process.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">GDPR privacy notice:</h3>Candidates from the EU should review <a href="https://www.assemblyai.com/legal/gdpr-job-applicant-and-worker-privacy-notice" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">this job applicant privacy notice</a> before applying.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Keep Exploring AssemblyAI:</h3><a href="https://www.assemblyai.com/products/speech-to-text" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Speech-to-text</a> | <a href="https://www.assemblyai.com/products/streaming-speech-to-text" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Streaming speech-to-text</a> | <a href="https://www.assemblyai.com/products/speech-understanding" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Speech Understanding</a> | <a href="https://www.assemblyai.com/products/llm-gateway" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">LLM Gateway</a><a href="https://www.assemblyai.com/playground/source" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Try the Playground</a><a href="https://www.assemblyai.com/blog/announcing-our-50m-series-c-to-build-superhuman-speech-ai-models/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Our $50M Series C fundraise</a><a href="https://www.youtube.com/@AssemblyAI" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Check us out on YouTube!</a>

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Trek

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As a Part Time Sales Associate (seasonal) at Trek, you will embody Trek’s mission by providing exceptional hospitality to customers and promoting cycling. You will guide customers through their cycling journey, from arrival to departure, ensuring their needs are met and their bicycles perform optimally for a great riding experience.

Sales Associate - Part Time

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">A bit about us</h2>Trek is an awesome place to work, with amazing benefits for all employees. We build only products we love, provide incredible hospitality to our customers, and change the world by getting more people on bikes. When you’re on our team, you’re taken care of, encouraged to learn and grow, and given lots of opportunities to do so. Give us your best, and we’ll give it right back. Sound pretty sweet? Then come join us!<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Job Description</h2>Our DOTS Sales Associates help to achieve Trek’s Mission by providing incredible hospitality to our customers and changing the world by getting more people on bikes. From the moment our customers arrive in our parking lot to when they leave on their bicycles or drive away, our Sales Associates are our Guides, taking our customers through everything they need to accomplish their cycling goals, keep their bicycles performing as designed, and ensuring they will have a great experience on their rides.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Performance expectations:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop your sales and hospitality skills through training, role-playing and on-the-job experience.</li><li class="leading-relaxed">Achieve individual monthly and annual sales targets of at least $400,000 per fiscal year for full-time Sales Associates.</li><li class="leading-relaxed">Learn about bikes, components, apparel, and technology.</li><li class="leading-relaxed">Participate in daily huddles and debriefs.</li><li class="leading-relaxed">Use our Guide Sales Process to provide our customers with incredible hospitality.</li><li class="leading-relaxed">Follow through on Quotes and Lead List communications.</li><li class="leading-relaxed">Make decisions regarding the care of—and doing the right thing for—our customers.</li><li class="leading-relaxed">Maintain Trek University Guide Status by completing Trek U modules to further your knowledge of our products, services, and procedures.</li><li class="leading-relaxed">When not actively taking care of customers, you will be helping to:</li><li class="leading-relaxed">Complete Daily Task List assignments.</li><li class="leading-relaxed">Maintain all aspects of store merchandising according to the visual merchandising standards, including product placement, price auditing, and product re-stocking.</li><li class="leading-relaxed">Complete weekly Cycle Counts.</li><li class="leading-relaxed">Assemble, or pre-assemble, new bicycles.</li><li class="leading-relaxed">Prep customer bikes for service by our Service or Production Technicians</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What you will bring to the job:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">A positive, “get stuff done”, attitude.</li><li class="leading-relaxed">A desire to change the world through bikes and work with like-minded teammates.</li><li class="leading-relaxed">A desire to learn.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Trek Benefits:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Flexible and fun company culture</li><li class="leading-relaxed">401(k) with match and Employee Stock Ownership Plans (ESOP)</li><li class="leading-relaxed">Employee discounts on all product</li><li class="leading-relaxed">Deep partner retail discounts</li></ul>We are an Equal Employment Opportunity (“EEO”) Employer. Trek strictly prohibits discrimination on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, sexual orientation, age, national origin, veteran or military status, disability, medical condition, genetic information, or any other characteristic prohibited by federal, state and/or local laws. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination.We are an E-Verify employer.For more information, please click on the following links:E-Verify Participation Poster: English / SpanishE-Verify Right to Work Poster: English | Spanish

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Research Engineer, Evaluations

Senior Software Engineer, Machine Learning (EST or EMEA)

Senior Software Engineer, Go - LLM Team

Support Engineer

Job Details