AI Engineer, Thunkable
$160-190k
Salary is benchmarked for candidates based in San Francisco and may vary for further location
No-Code mobile app builder
Job no longer available
No-Code mobile app builder
21-100 employees
Job no longer available
$160-190k
Salary is benchmarked for candidates based in San Francisco and may vary for further location
21-100 employees
Company mission
To democratise mobile app development and empower everyone to build without writing a single line of code.
Role
Who you are
- Thunkable is on the lookout for a highly skilled software engineer with a passion for machine learning and a special focus on deep learning and generative AI
- Our ideal candidate will be adept in working with Large Language Models (LLMs), and possess a strong foundation in programming languages such as Python and JavaScript/TypeScript
- Experience with technologies like Langchain, Autogen, AutoGPT, and tools for code generation and completion will be highly valued
- A minimum of 5 years of experience as a Software Engineer or equivalent research experience
- Strong grasp of core web technologies
- Proven ability to dissect and resolve complex software development issues across diverse components
- Excellent problem-solving acumen with the capability to articulate intricate ideas to both technical and non-technical audiences
- A history, if brief, of working with large language models and generative AI and associated techniques such as RAG, prompt management or fine tuning
- A strong advocate for ethical AI, prioritizing transparency and user-centric approaches
- Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, Mathematics, or a related field, or industry experience to match
- Proficiency in SQL, familiarity with large datasets, and experience with cloud platforms like AWS or GCP
Desirable
- Deep understanding of deep learning, reinforcement learning, and NLP
- Experience in handling and analyzing large datasets with statistical and machine learning techniques
- Knowledge in the design of experiments, survey design, and large-scale AB testing
- Technical knowledge in Deep Learning, particularly in Generative AI (e.g., GANs, GPT models).Familiarity with Multi-modal ML, Graph ML, and/or Reinforcement Learning
- Contributions to technical articles and presentations at Engineering/ML conferences are advantageous
- Experience developing and training models in PyTorch is ideal
What the job involves
- Participate in the design, development, and integration of cutting-edge machine learning techniques within the Thunkable platform, in partnership with product management, full-stack engineering, and design teams
- Establish use cases and devise evaluation methods & benchmarks for various approaches to support and enhance Thunkable’s products and user experiences
- Actively monitor and refine the performance and efficiency of live ML systems
- Keep abreast of the latest trends and breakthroughs in machine learning, NLP, and adjacent domains to maintain our edge in innovation
- Mentor team members, fostering AI literacy and thought leadership within the company
- Research developments in LLMs and generative AI to identify opportunities for leveraging them to boost Thunkable’s capabilities
Our take
Almost everyone of all ages has a device capable of running mobile apps, but the ability to make and deploy utilities and games is limited to those with extensive programming abilities. Thunkable is a no-code development platform that lets anyone design, develop, and deploy native mobile applications without having to write a single line of code.
Though there are already a number of low- and no-code mobile app building platforms (including FlutterFlow, AppyPie, Builder, and more under development), Thunkable's platform allows more freedom to design than competitors. Thunkable is unique in providing tooling rather than templates, emphasising the freedom to build anything with its drag-and-drop interface. Thunkable’s simple yet robust cross-platform app builder has equipped more than 3 million users to create over 7 million apps.
The company’s Series B funding round was led by Owl Ventures and had support from DJ Diplo (Thomas Pentz). Thunkable is focusing on enhancing third-party integration, improving native device functions (like NFC and Bluetooth), and boosting shareability & collaboration. With recent design and accessibility innovations, such as its Figma import capabilities, Thunkable is a game-changer in the no-code space.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
39% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Apr 2022
$30m
SERIES B
Jun 2018
$3.3m
SEED
Total funding: $33.7m
Company benefits
- Wellness and Training Budget: We value your well-being and want to invest in it
- Work Where You Want: The company is based in San Francisco (with an office), but operates globally, with team members working across a number of cities, countries, and time zones (to facilitate async work we prioritize countries and locations in a max 2h time zone difference from those hubs: San Francisco, New York and Dublin)
- Shared values: Creativity, Openness, Transparency, Persistence, and Entrepreneurialism
- Challenge yourself by acquiring new abilities, interacting with clients, enhancing products, or learning design. We will encourage you to reach your full potential
Company HQ
SoMa, San Francisco, CA
Leadership
Arun Saigal
(Co-Founder & CEO)2018 Forbes 30 under 30 (Consumer Technology). Former Lead Android Developer at Quizlet, MIT App Inventor Engineer & Research Assistant at the Massachusetts Institute of Technology (MIT), and was a Research Engineer at Aspiring Minds.
WeiHua Li
(Co-Founder & CTO)2018 Forbes 30 under 30 (Consumer Technology). Former Graduate Student Researcher at the Massachusetts Institute of Technology: Computer Science and Artificial Intelligence Laboratory (MIT CSAIL).
Share this job
View 3 more jobs at Thunkable