AI Engineer

- 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.

- 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.

- 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.

Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish their iOS and Android apps for free. Today, non-engineers use Thunkable to prototype and share new ideas, develop proofs-of-concept for their own digital business, and design and ship their own ad-supported and premium apps. Thunkable was incubated at Google Research and MIT. 

We are backed by Lightspeed, NEA, Owl Ventures, SV Angel, Zhenfund, and Y-Combinator. Our founders are MIT engineers who want to extend the power and fun of creation to people who don’t code. 

Joining Thunkable means joining a team of passionate, entrepreneurial and friendly people with different backgrounds, shared ideas, and similar goals. 

- Get compensated: We offer competitive pay, equity and benefits to our employees based on their location. You’ll get access to unlimited PTO regardless of your location.

- 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.