Assembly AI

Senior Software Engineer, Machine Learning (EST or EMEA)

Senior Researcher

Senior Software Engineer, Go - LLM Team

Support Engineer

Senior Technical Account Manager

AssemblyAI is seeking a Senior Machine Learning Engineer to accelerate their AI research-to-production pipeline. This role involves building and improving infrastructure for rapid model deployment and testing, ensuring efficient, scalable, and reliable production inference systems. The engineer will identify and resolve ML infrastructure bottlenecks, make architectural decisions, and develop user-facing APIs. Close collaboration with research and engineering teams is essential to bridge innovation and production reliability.

About AssemblyAIAssemblyAI builds the best-in-class Speech 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—from voice agents and meeting assistants to contact centers and medical scribes. Companies like Zoom, Granola, Fireflies, Cluely, and Calabrio rely on AssemblyAI to ship production-ready voice AI.We're at an inflection point in Speech AI. We released Universal-Streaming in mid-2025, and it has quickly earned its place as the model offering the best accuracy-latency-cost tradeoff on the market. Our research team drives these advances and ships with relentless velocity. Since releasing Universal-Streaming, we've already launched <a href="https://www.assemblyai.com/blog/streaming-keyterms-prompting" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">keyterms prompting feature</a> and <a href="https://www.assemblyai.com/blog/introducing-multilingual-universal-streaming" target="blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">multilingual support</a>—with more significant improvements on the roadmap.We've raised $115M+ from Accel, Insight Partners, Y Combinator's AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. We're a remote team building one of the next great AI companies—and we're looking for researchers who will shape its future.About the role:We’re looking for a Senior Machine Learning Engineer to accelerate our AI research-to-production pipeline. You’ll build and improve the infrastructure that enables our research team to rapidly deploy and safely test new models, while helping ensure our production inference systems remain efficient, scalable, and reliable. You’ll identify gaps and opportunities in our ML infrastructure, scope solutions to ambiguous technical problems, and help set the technical direction for how we bridge research innovation and production reliability. This role requires a strong backend engineering background in distributed systems and containerization, and a track record of independently driving projects from concept to delivery. This is a cross-functional role that requires close collaboration with both research teams developing models and engineering teams supporting the broader platform.What You’ll Do:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and implement tooling that enables researchers to quickly deploy and evaluate new models in production</li><li class="leading-relaxed">Design, build, and maintain high-performance, cost-efficient inference pipelines, making architectural decisions about scaling, reliability, and cost trade-offs</li><li class="leading-relaxed">Proactively identify and resolve infrastructure bottlenecks, proposing and scoping improvements to iteration speed and production reliability</li><li class="leading-relaxed">Develop and maintain user-facing APIs that interact with our ML systems</li><li class="leading-relaxed">Implement comprehensive observability solutions to monitor model performance and system health</li><li class="leading-relaxed">Troubleshoot and lead resolution of complex production issues across distributed systems, driving root-cause analysis and implementing preventive measures</li><li class="leading-relaxed">Set the direction for and continuously improve our MLOps practices, identifying the highest-impact opportunities to reduce friction between research and production.</li><li class="leading-relaxed">Collaborate closely with research and engineering teams to align on technical direction, and help onboard and mentor engineers on ML infrastructure best practices.</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">Strong backend engineering experience with Python</li><li class="leading-relaxed">Experience building and operating distributed, containerized applications, preferably on AWS</li><li class="leading-relaxed">Proficiency implementing observability solutions (monitoring, logging, alerting, tracing) for production systems</li><li class="leading-relaxed">Ability to design and implement resilient, scalable architectures</li><li class="leading-relaxed">Track record of independently scoping and delivering complex technical projects from problem identification through production deployment</li><li class="leading-relaxed">Comfort navigating ambiguity and making pragmatic technical decisions when requirements are unclear or evolving</li></ul>An ideal candidate should also have some of the following:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">MLOps experience, including familiarity with PyTorch and Kubernetes</li><li class="leading-relaxed">Experience working in fast-paced environments where you owned technical direction for an area and drove projects with minimal oversight.</li><li class="leading-relaxed">Experience collaborating with remote, globally distributed teams</li><li class="leading-relaxed">Comfort working across the entire ML lifecycle from model serving to API development</li><li class="leading-relaxed">Experience in audio-related domains (ASR, TTS, or other domains involving audio processing)</li><li class="leading-relaxed">Experience with other cloud providers</li><li class="leading-relaxed">Familiarity with Bazel and monorepos</li><li class="leading-relaxed">Experience with alternative ML inference frameworks beyond PyTorch</li><li class="leading-relaxed">Experience with other programming languages</li><li class="leading-relaxed">Experience mentoring junior engineers or onboarding teammates onto complex systems</li></ul>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: $195,000 - $225,000Working at AssemblyAIWe 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.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!Using AI to Interview: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.GDPR privacy notice: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.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><a href="https://www.assemblyai.com/research" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Learn more about AI models for speech recognition</a><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/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/" 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>

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Tennr

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This role drives faster ramp times, stronger product fluency, sharper GTM execution, and higher win rates. You'll design systems and programs to ensure sellers deeply understand the product, customers, and deal closing. Partnering with Product, Product Marketing, Sales, and CX Leadership, you'll translate strategy into repeatable field execution. Over time, you'll build and lead a high-performing enablement team, shaping how this fast-growing healthcare tech company goes to market.

Strategic Account Executive, Health Systems

ML Ops Engineer

Associate Customer Success Manager

DME Documentation & Criteria Reviewer

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Design Technologist

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Product Manager, Productivity Platform

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Company Description</h2>Today, when you go to your doctor and get referred to a specialist (e.g., for sleep apnea), your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often specialists and medical services are overwhelmed with referrals and the painstakingly manual process it takes to qualify your referral prevents them from getting around to it on time, or sometimes at all. Tennr prevents these delays and denials by making sure every referral gets where it needs to go, with the right info, at the right time. Powered by RaeLM™ Tennr reads, extracts, and acts on every piece of patient information so providers can capture more referrals, slash denials, and reduce delays.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Role Description</h2>The purpose of this role is to drive faster ramp times, stronger product fluency, sharper GTM execution, and higher win rates. You’ll design the systems, programs, and operating rhythm that ensure every seller at Tennr deeply understands our product, our customers, and how to close deals. You’ll partner closely with Product, Product Marketing, and both Sales and CX Leadership to translate strategy into practical, repeatable field execution. Over time, you’ll build and lead a high-performing enablement team.If you’re excited about having a large impact, operating with high ownership, and shaping how a fast-growing healthcare tech company goes to market, then you should apply.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Define and own the metrics that reflect enablement impact. You will be responsible for measurable improvements in sales productivity and effectiveness, including:</li><li class="leading-relaxed">reducing time-to-productivity and time-to-quota for new hires</li><li class="leading-relaxed">increasing win rates across segments</li><li class="leading-relaxed">improving deal quality and sales execution rigor, and</li><li class="leading-relaxed">ensuring consistent product fluency across the GTM organization.</li><li class="leading-relaxed">Design and implement structured onboarding programs, ongoing skills development, certification frameworks, and sales methodology reinforcement. You will create and maintain playbooks, battlecards, talk tracks, and training materials that make complex product and market dynamics simple and actionable for the field.</li><li class="leading-relaxed">Partner with Product and Product Marketing to ensure roadmap updates, new features, and positioning shifts are translated into clear, effective enablement programs. You will also partner with Sales Leadership to reinforce knowledge and skills.</li><li class="leading-relaxed">Implement training on sales fundamentals (discovery, value articulation, multi-threading, etc.).</li><li class="leading-relaxed">Introduce best-in-class enablement tools where needed.</li><li class="leading-relaxed">Build the foundation for a future enablement team, hiring and ramping the team to support Tennr’s growth and scale.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">5+ years of sales enablement experience in high-growth environments</li><li class="leading-relaxed">Demonstrated impact on ramp time, win rates, and overall sales productivity</li><li class="leading-relaxed">Experience building enablement programs from the ground up</li><li class="leading-relaxed">Proven track record supporting enterprise SaaS sales teams</li><li class="leading-relaxed">Strong cross-functional operator with the ability to influence Product and Sales leadership</li><li class="leading-relaxed">Data-driven mindset with a focus on measurable outcomes</li><li class="leading-relaxed">Excellent facilitator, communicator, and program builder</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Why Tennr?</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.</li><li class="leading-relaxed">Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure</li><li class="leading-relaxed">Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.</li><li class="leading-relaxed">Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week (preferred)</li><li class="leading-relaxed">Free lunch! Plus a pantry full of snacks.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Benefits</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Chelsea office</li><li class="leading-relaxed">Unlimited PTO</li><li class="leading-relaxed">100% paid employee health benefit options</li><li class="leading-relaxed">Employer-funded 401(k) match</li><li class="leading-relaxed">Competitive parental leave</li></ul>

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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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Data Structures and Algorithms

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Programming Patterns

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Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Senior Software Engineer, Machine Learning (EST or EMEA)

Senior Researcher

Senior Software Engineer, Go - LLM Team

Support Engineer

Senior Technical Account Manager

Job Details