Lead AI Platform Engineer, AssemblyAI
$230-275k
Speec AI models to automatically recognize and understand speech
Open for applications
Speec AI models to automatically recognize and understand speech
101-200 employees
Open for applications
$230-275k
101-200 employees
Company mission
To create new, superhuman Speech AI models that will unlock entirely new classes of applications and products to be built leveraging voice data.
Role
Who you are
- You should be passionate about developing scalable systems, optimizing workflows, and engineering excellence through hands-on development, code reviews and architectural planning
- As the technical lead, you'll bring deep expertise in both AI infrastructure and software engineering best practices
- You should excel at working with diverse stakeholders and communicating complex technical concepts clearly to different audiences
- 8+ years of experience in AI/ML Infrastructure, Research Platform Engineering, or related software engineering roles
- 3+ years of professional experience working as an AI data and infrastructure setting or similar position most recently at a startup
- Strong proficiency in Python and SQL
- Deep expertise with GCP services like BigTable, BigQuery, Dataproc, Dataflow … etc
- Experience with distributed processing frameworks (Apache Beam, PySpark, … etc)
- Familiarity with workflow orchestration tools (Airflow, Composer, Astronomer)
- Understanding of distributed training systems and data loading optimization
- Experience with experiment tracking and training tooling
- Ability to thrive in a startup environment with aggressive prioritization and rapidly changing business requirements
Desirable
- Experience working in the Speech AI/Audio ML space
- AWS Experience
- Evaluation metrics for AI/ML models
- Experience with ML model evaluation frameworks and automated testing pipelines
What the job involves
- We're looking for a Lead AI Platform Engineer to drive the technical direction of our data and AI training infrastructure team
- This person will have a significant opportunity to shape the vision, architecture, and capabilities of our AI research platform
- You'll be responsible for enhancing and scaling our infrastructure to dramatically improve training velocity and research outcomes
- You'll directly lead high-impact projects that are critical to our ability to train models at scale
- While you won't have direct reports, you'll provide technical guidance that influences the entire organization's approach to AI infrastructure
- This is a highly cross-functional role requiring close collaboration with our Research team and senior leadership,
- You'll design scalable, future-proof data platforms optimized for AI research workloads
- Build efficient data pipelines leveraging GCP's advanced services
- Implement cost-effective storage and monitoring solutions for ML at scale
- Create flexible training resource management with intelligent queuing
- Optimize resource allocation for maximum training efficiency
- Participate in on-call rotation to ensure system reliability
- Lead adoption of cutting-edge ML tools and frameworks, continuously evaluating and integrating best-in-class solutions
- Streamline existing workflows while introducing new tooling that further reduces complexity
- Enhance our tooling and documentation to accelerate team velocity and maintain our competitive edge
- Implement guardrails for cost, quality, and performance
- Identify and eliminate technical bottlenecks in the training pipeline
Our take
Audio has become central to many products on the internet, from the explosive uptake of Zoom to the inclusion of audio and video messaging features on dating apps. In this vein, AssemblyAI has developed AI models for transcribing, understanding and analyzing audio and video data.
Between the summers of 2021 to 2022, AssemblyAI saw the number of developers building with its APIs grow by over 1000%, with customers ranging from start-ups like Veed to global enterprises including NBC Universal and Spotify. Coupling this with a strong in-house pedigree - from the likes of DeepMind, Google Brain and Meta AI - AssemblyAI has built the foundations for a very exciting future.
And with funding under its belt, the company is scaling up its efforts; accelerating its product roadmap whilst building an even better AI infrastructure to speed up AI research and inference engines.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Dec 2023
$50m
SERIES C
Jul 2022
$30m
SERIES B
Total funding: $113.2m
Company benefits
- Home office stipend: We invest in our people first and offer competitive salaries across all roles andEvery new team member gets U$1,000 to improve their home office. We want to make sure everyone has the setup to do their best work. locations
- Equity: We want our team members to have skin in the game and an opportunity to see long-term returns on the hard work they are putting in. To that end, every team member receives a generous equity grant
- Premium benefit offerings: We offer premium medical, dental, and vision plans and cover up to 100% of the premiums for both the employee and their family. We also offer opportunities to contribute to an HSA or FSA, short-term and long-term disability coverage, and life insurance
- Unlimited PTO: We offer a flexible PTO policy to all team members and encourage everyone to take time off to recharge, do something fun, and spend time with loved ones
- Team offsites: We have team and company-wide retreats in amazing locations to give everyone an opportunity to meet in person, collaborate, and build working relationships that make us a better team
- Global remote team: We hire the best person for the job, regardless of location. Our remote-first culture allows team members to make an impact from anywhere in the world
- Diversity and inclusion: We celebrate diversity and are committed to creating an inclusive environment for all employees. We are proud to be an equal-opportunity workplace
- Flexible schedule: Strong teams are built on mutual trust and accountability. We believe in giving our team members ownership over their work and a flexible schedule to allow them to operate at their highest potential
Company HQ
Inner Sunset, San Francisco, CA
Leadership
Dylan Fox
(Founder & CEO)Previously founded and acted as CEO for YouGive1. Experience as Senior Software Engineer for Cisco and as a Lead Research Assistant for NDP Consulting.
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