Engineering Manager, Machine Learning

March 13

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WellSaid Labs

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WellSaid Labs is a company that specializes in creating high-quality, natural-sounding AI-generated voiceovers. Their platform offers a studio for voiceover creation, an API for developers, and a range of voice styles to choose from, making it ideal for corporate training, marketing, and video production. The company emphasizes data security and ethical AI, serving a global clientele that includes large enterprises. Through WellSaid's services, businesses can produce engaging audio content efficiently, leveraging a variety of customizable voices that sound human and realistic.

Deep Learning • Voice Synthesis • Artificial Intelligence • Synthetic Voice

11 - 50 employees

Founded 2019

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

📋 Description

• WellSaid is the leading AI voice company for enterprise and professional applications. • WellSaid provides ultra-realistic voices that the world’s biggest brands trust to engage listeners. • An experienced and collaborative engineering manager, you are an empathetic leader and a strong communicator. • As an Engineering Manager of Machine Learning, you will work closely with our Engineering Leadership to instill best practices, drive execution on complex and pioneering deep learning efforts, and mentor our teammates. • You will lead our team in improving our state-of-the-art text-to-speech models.

🎯 Requirements

• 5+ years of experience managing a software engineering team and a proven track record. • 2+ years of experience using Cloud platforms (GCP, AWS, etc), • Background in Machine learning frameworks (such as PyTorch), and data processing tools (Spark, Pandas, etc.) are a big bonus but not mandatory. • You are proficient in software development practices, including specing, documenting, testing, reviewing, deploying, and monitoring, and are passionate about writing clean, defensible code. • Excellent communication and collaboration skills to work effectively with cross-functional teams, including software engineers, data engineers, product managers, execs, and other stakeholders. • You are flexible and capable of working with a diverse team with various communication styles and needs. You are empathic and supportive. • You create equitable processes across the entire employee lifecycle. You are particularly mindful of addressing the needs of marginalized people. • Experience in text-to-speech, speech-to-text, audio libraries, or cloud storage is a bonus.

🏖️ Benefits

• Competitive salary and stock options • Full medical, dental, and vision insurance • Matching 401(k) plan • Generous vacation policy/paid time off • Parental leave • Learning & development stipend • Home office stipend