AI Engineer & Researcher, Inference Speechify

Musicindustryyorkshire; Doncaster; On-site; GBP 104,000 - 150,000; Full time

Job summary

A leading technology company in the UK is seeking a skilled individual to work on deploying AI Voices, enhancing performance and efficiency of AI products. The ideal candidate has experience with Python services and public cloud environments. This role offers competitive compensation and a dynamic work culture focused on innovation and creativity.

Benefits

Dynamic work environment

Opportunity to impact industry

Welcoming atmosphere

Asynchronous work culture

Qualifications

• Experience shipping Python-based services.
• Experience maintaining critical production services.
• Experience with public cloud environments, preferably GCP.

Responsibilities

• Work with machine learning researchers and engineers to deploy AI Voices.
• Operate ML inference workloads for AI Voices.
• Introduce architecture improvements for model performance.

Skills

Python service deployment

Public cloud environments

Infrastructure as Code

Docker

Kubernetes

ML model deployment

Job description

Responsibilities

• What You’ll Do
• Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases
• Deploy and operate the core ML inference workloads for our AI Voices serving pipeline
• Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models
• Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues

Qualifications

• An Ideal Candidate Should Have
• Experience shipping Python-based services
• Experience being responsible for the successful operation of a critical production service
• Experience with public cloud environments, GCP preferred
• Experience with Infrastructure such as Code, Docker, and containerized deployments.
• Preferred: Experience deploying high-availability applications on Kubernetes.
• Preferred: Experience deploying ML models to production

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Compensation

The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

How to Apply

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Tell us more about yourself and why you’re interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn.