Build the future with our visionaries.

Senior / Staff Software Engineer (Applied AI)

Rewind AI

Rewind AI

Software Engineering, Data Science
Posted on Wednesday, January 25, 2023
About Rewind 👋
At Rewind, we are building out personalized AI powered by everything you've seen, said, or heard. We believe personalized AI will unlock the potential of human productivity. Rewind records anything you’ve seen, said, or heard and makes it searchable. For your privacy, we store all of the recordings locally on your device and only you have access to them.
The product we have today is just the first step toward our audacious vision of giving humans perfect memory. We have raised over $35m from top-tier investors including Andreessen Horowitz, First Round Capital, Moxxie Ventures, Sam Altman, Elad Gil, and Alexis Ohanian to help make that vision a reality.
Why Rewind 👀
Working at Rewind will be the most impactful job of your life. Our team is small and everyone plays a huge role. The work you’ll do will have tremendous impact on not just our company, but how the world works: making forgetting a thing of the past.
With this audacious goal comes a lot of company growth. And as the company grows, so will you. We will support you in building a career that energizes and fulfills you: giving you opportunities so that you can do the best work of your career. But don't just take our word for it, look at our track record. Our founding team has previously built Optimizely: a $120M annual revenue recurring business with 450 employees which was voted the #1 Best Place to Work.

Benefits 💯

  • Health insurance: best-in-class healthcare for employees and dependents. Includes vision and dental.
  • Top-of-market compensation: we strive to offer top-of-market salary and equity.
  • Flexible vacation: we want you to take the time you need to rest and relax.
  • Employee-friendly equity terms: we offer an extended exercise window and early exercise for any options offered.
  • Remote first: we have team members all over the U.S. and everyone is treated equally regardless of location.
  • 401(k) plan: for US employees we offer a 401(k) plan with company matching.
  • Office reimbursement: prefer working from an office? We provide a WeWork membership or reimbursement.
  • Parental leave: we offer all parents 12 weeks of paid time off to spend time with their new family.
  • Quarterly retreats: we have offsites quarterly to bring everyone together. Past retreats include Seattle, Breckenridge, Calistoga & Mexico.
  • Choose your gear: we equip everyone with a new top-of-the-line laptop with all the upgrades.

Why we need you ✨

  • Advanced AI and ML Expertise: Your deep knowledge in both Transformer models and traditional machine learning techniques is vital for driving our AI-driven features and services to new heights.
  • Innovative Solutions at the Edge: Utilize your edge inference experience to deploy efficient AI solutions, ensuring real-time and powerful user experiences even in resource-constrained environments.
  • Technical Vision and Leadership: Be a torchbearer in our AI endeavors, integrating cutting-edge technologies and methodologies to keep us at the forefront of innovation.

What will be your responsibilities 📓

  • Transformer and Traditional ML Model Development: Implement, optimize, and innovate with large Transformer models like GPT-4 and Whisper, while also leveraging traditional machine learning approaches.
  • Embeddings and RAG Expertise: Utilize techniques like embeddings and Retrieval-Augmented Generation (RAG) to enhance the capabilities and efficiency of our AI solutions.
  • Edge AI Deployment: Design and execute machine learning models for edge inference, focusing on optimizing performance in various operational environments.
  • Collaborative Integration and Strategy: Work alongside engineering and product teams to embed AI functionality into our products and contribute significantly to our AI strategy and roadmap.

What will help you be successful 👏

  • Broad AI/ML Knowledge: Extensive experience with both large Transformer models (like GPT-4 and Whisper) and traditional applied ML techniques, including familiarity with embeddings and RAG.
  • Edge Inference Experience: Demonstrated ability in deploying machine learning models for edge inference, with a focus on performance optimization in constrained environments.
  • Innovative and Analytical Approach: Strong problem-solving skills, capable of navigating complex AI challenges and driving forward cutting-edge solutions.
  • Effective Team Collaboration: Outstanding communication abilities for effective teamwork, knowledge sharing, and contributing to a culture of innovation and continuous learning.
Internally we aren't fixated on titles & levels since that can lead to needless hierarchy that distracts from the team's collective success. We recognize that not all companies operate that way so we say "Senior / Staff / Principal" to indicate we want people with substantial amounts of experience.
If you're interested in this job, we strongly encourage you to apply: we'd love to see you on our team working toward our audacious vision of giving humans superpowers.