About the role:
We’re looking for a Senior Software Engineer to help design and implement solutions that leverage a small team, across Research Engineering and Product Engineering at AssemblyAI. This person should have a demonstrated track record of developing longer term, adaptable solutions that span multiple teams, and require multiple engineers to implement (i.e. something larger than a single engineer can take on). The candidate must have a strong background in software engineering, and also have familiarity or experience with machine learning code and infrastructure.
What You’ll Do:
- Interface with other senior roles on other teams
- (e.g. Research, Research Engineering, Product Engineering, and Product)
- Collaborate with stakeholders on the designed solutions
- Mentor junior engineers by setting a strong example
- Design and implement new API features and endpoints
- Design and implement highly scalable AI experimentation frameworks
- Design and implement automated test suites and CI/CD pipelines
- Instrument systems with metrics, tracing, and logging
- Refactor applications to eliminate tech debt
Minimum Requirements:
- 5+ years of professional experience building backend applications using either JVM-based language (Java / Kotlin / Scala) OR 5+ years of experience in Python
- 2+ years professional experience in Python OR Java
- working knowledge of common cloud infra AWS/GCP
- 3+ years experience designing high-volume data processing pipelines
Preferred Requirements:
- 2+ years working in a monorepo with a powerful build system such as Bazel or Buck
- 1+ years defining, executing and landing a mid-term (2+ quarter) vision for a single project or team
- 2+ years designing production critical systems
- [A - TL] Experience setting roadmap direction with adjacent teams/systems
- 2+ years experience mentoring more junior engineers via design doc reviews and code reviews
- 2+ years using monitoring, alerting, logging systems (eg Grafana, Prometheus, Datadog, ELK/Kibana)
- 2+ years designing continuous integration and delivery pipelines
- 2+ years of experience using task tracking systems such as Jira
- Experience scaling systems to new orders of magnitudes of traffic
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, benefits and other reward opportunities we provide.
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 or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
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.
Salary range: $170k-$230k+
Working at AssemblyAI
We are a small but mighty group of problem solvers, innovators, 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 self-motivated. We put a lot of trust and autonomy into everyone on our team and want to find people who will add to our culture, not just fit in.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of 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!
Keep Exploring AssemblyAI:
Learn more about AI models for speech recognition
Core Transcription | Audio Intelligence | LeMUR | Try the Playground
AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.
Our Automated Speech Recognition (ASR) models already outperform companies like Google, AWS, and Microsoft - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)!
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
Join our world-class, remote team and help us build an iconic deep learning company!