About Spiffy 🌟

Spiffy is using AI to reimagine commerce. We envision a future where intelligent systems bring out the best in human capabilities, so that brands can deploy hyper-personalized online shopping experience easily, and customers can transact flawlessly.

We are developing a new breed of AI that continuously improves towards a goal. These models understand human behavior, reason what makes an amazing experience, continuously get better, and achieve performance surpassing that of today's top commercial AI models.

We already have commercial success deploying cutting-edge research techniques that our world-class researchers developed over the last two years to scale hyper-personalized and continuously improving AI, and are looking to scale fast.

What You'll Do 🛠️

• Drive ML innovation 💡: Research and implement state-of-the-art machine learning techniques, turning cutting-edge concepts into real-world applications. You’ll bring research papers to life and push the boundaries of generative AI.
• Optimize performance ⚙️: Lead efforts to improve training and inference efficiency through techniques like quantization, speculative decoding, and low-level optimizations with CUDA and Triton kernels.
• Build and deploy 🛠️: Develop robust data processing pipelines and deploy large-scale models using modern platforms like SageMaker or Vertex AI. You’ll ensure models are production-ready and operate at scale.
• Experiment and iterate 🧪: Experiment with innovative approaches in pretraining, fine-tuning, reinforcement learning with human feedback (RLHF), and more to continually improve our ML stack.
• Collaborate and lead 👥: Partner closely with cross-functional teams, including backend engineers and product managers, to ensure seamless integration of machine learning solutions. You’ll also mentor junior engineers and uphold high standards for ML code quality.

Who you are 😎

• Machine Learning maverick 🧠: With 3+ years of hands-on experience in machine learning, you’re comfortable working with language models, training pipelines, and model inference.
• Startup enthusiast 🌟: You thrive in the fast-paced, ever-changing world of startups. You bring strong engineering practices, attention to detail, and a get-it-done attitude.
• Code artisan 🛠️: You excel at writing clean, production-level ML code and understand the balance between rapid experimentation and robust solutions.
• Collaborative team player 🤝: You’re approachable, detail-oriented, and bring leadership experience to foster a collaborative and high-performing team environment.
• Deployment expert 🌐: You’re proficient in deploying models on platforms like SageMaker, and have a deep understanding of the challenges and nuances of ML deployment at scale.
• Lifelong learner 📚: You’re continuously exploring advancements in ML, whether diving into CUDA, exploring new optimization methods, or learning the latest fine-tuning techniques.

Perks & Benefits 🎉

Competitive Salary & Equity 💸: Get rewarded with competitive compensation and early-stage equity.

Flexible Work Environment 🏠: We are a hybrid startup that combines the flexibility of remote work with regular in-person collaboration. We are focusing on hiring candidates located in (or open to relocating to) the Greater Seattle Area.

Health is Wealth 🩺: Top-notch medical, dental, and vision insurance.

Trailblazer Opportunity 🌠: Be a pivotal part of our well-funded, high-potential startup.

Ready to make AI history? Join Spiffy and be a part of something spiff-tacular! 🌈✨