Staff Machine Learning Engineer, Lilt
+ Equity
More information about location
AI solution for enterprise translation and content creation
Open for applications
AI solution for enterprise translation and content creation
201-500 employees
Open for applications
+ Equity
More information about location
201-500 employees
Company mission
To make the world's information accessible to everyone regardless of where they were born or which language they speak.
Role
Who you are
- Bachelor’s, Master’s or equivalent in Computer Science, Statistics, or Computational Math (or equivalent industry experience in Computer Science or a related technical discipline)
- 3+ years of engineering experience
- 2+ years experience working on a Machine Learning product
- Experience with containerized CI/CD workflows
- Experience with production deployment and optimization of large neural networks on accelerator hardware (GPUs)
- Experience with distributed LLM training infrastructures
- Excellent verbal and written communication skills
- Passion to devise solutions that require a focus on systems thinking
- Demonstrated ability to gather, organize, and synthesize significant and diverse information
- Strong desire to master the product that you create, and to understand the customer that uses the product
- Experience collaborating with other engineers and researchers on large-scale machine learning systems
What the job involves
- In tight collaboration with Lilt’s research team, the infrastructure team, and the wider Engineering organization you will be in charge of productizing new AI technologies, improving and maintaining our Machine Learning Operations infrastructure, and optimizing Large Language Model deployments
- Design, maintain and optimize CI/CD pipeline and infrastructure for Large Language Model and vector database deployments
- Collaborate with the Research and Engineering teams on infrastructure development for Lilt’s production and on-premise environments
- Design and implement architecture to efficiently productize new AI technologies, guaranteeing high availability and reliability
- Identify and facilitate delivery of multi-team projects on clear timelines
- Give constructive, effective technical and organizational feedback on work product and communication
- Work with Product to prioritize infrastructure improvements and technical debt against business requirements
Our take
Widely available tools like Google Translate are not fit for complex, operationally intense processes that require expert translations. Manual methods of yesterday can't scale with the volume of digital information produced in the world today. Lilt works with companies, schools, and government agencies to provide AI-powered enterprise language translation. Lilt’s platform combines a translation management system and neural machine translation with human language experts to create a “human-in-the-loop” approach.
While companies like AI Translate offer intelligent machine translations, they still have linguists fine-tune and correct the texts afterward. With the Lilt platform, AI and humans work in collaboration through the text together, with the AI making real-time sentence suggestions and the linguist reviewing them immediately. This collaboration creates 3-5x better efficiency compared with traditional human-only translation services, aiding in Lilt's substantial rounds of funding.
Clients such as Asics, Canva, and Digital Ocean use Lilt technology for urgent campaigns and large-scale localisation projects. Recently, Lilt launched its V3.5 translation models, which improve quality by 15% to 20%, significantly enhancing translation accuracy and efficiency. Additionally, Lilt appointed a new Chief Revenue Officer to propel growth and scale, emphasising its commitment to expanding its market presence and improving its services further.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Apr 2022
$55m
SERIES C
May 2020
$25m
SERIES B
Total funding: $91.9m
Company benefits
- Compensation: Meaningful equity, 401(k) matching, and flexible time off plus company holidays
- Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, plus FSA/DFSA, HSA, and Commuter benefits. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
- Paid parental leave is provided after 6 months
- Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
Company values
- Work together, win together - We collaborate to amplify the impact of our team and our work
- Find a way or make one - Own it, solve it
- Stay humble, keep learning - Lifelong learning
- Quicker than they expect - We have a bias for action
- Operate with excellence - Excellence comes from deliberate investment of effort and time
Company HQ
Emeryville, CA
Articles
Leadership
John DeNero
(Chief Scientist)Earned a PhD in Computer Science from the University of California, Berkeley. Previously Teaching Professor at UC Berkeley for 7 years and Senior Research Scientist at Google for 4 years.
Spence Green
(CEO)Earned a Ph.D. in Computer Science from Stanford University. Previously Research Assistant - Computer Science at Stanford University for 6 years and Fellow at XSeed Capital for 1 year.
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