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Job Summary:

Wispr Flow is a company focused on building voice intelligence that understands users. They are seeking an experienced ML Engineer to take ownership of training, fine-tuning, and inference for their ML models while launching new features and product lines.

Responsibilities:

• Innovate across multi-modal models to solve key challenges across latency, hallucinations, context-awareness, personalization, and inference

• Drive key improvements across all models and interfaces, ensuring excellence in performance and usability

• Work closely with the founders and product engineers to push the boundaries of what’s possible

• Architect fast, reliable, and scalable inference that handle massive audiences effortlessly

Qualifications:

Required:

• Deep understanding of LLMs and transformer-based architectures

• Have a voracious and intrinsic desire to learn and fill in missing skills

• Thrive in a customer-focused, tight-knit and cross-functional environment

• Expertise in Python (2+ years)

• Experience with ML / scientific frameworks: TensorFlow, Keras, Numpy, Scipy, Pandas

Preferred:

• Experience in any of the following will make you stand out: ML inference, multi-modal models, RL / DPO, fine-tuning, audio, async programming, low-level systems, data pipelines

• You've published seminal research / have a PhD

• Large-scale and high-load production systems

• Implementation of advanced methods for efficient fine-tuning

• Maintaining or contributing to open-source ML projects

• Managing machine learning workloads on Kubernetes clusters

Company:

Effortless voice dictation Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of 11-50 employees. The company is currently Early Stage.