Applied AI Engineer & Researcher

Description

Speechify is seeking an Applied AI Engineer & Researcher to advance research and develop production-grade AI features for speech and language applications. This role blends rigorous ML research with practical engineering to improve speech synthesis, speech recognition, and accessibility for millions of users.

Responsibilities

• Conduct applied ML research on speech and language problems; develop novel algorithms and evaluate on real-world data.
• Design, implement, and scale models using PyTorch or TensorFlow; optimize for fast, reliable inference in production.
• Collaborate with product, data, and design teams to define requirements and measure impact.
• Build data pipelines and experiments, ensuring reproducibility of research.
• Deploy models to production, monitor performance, and iterate based on user feedback.
• Share findings internally and with the broader research community where relevant.
• Mentor junior team members and communicate complex ideas clearly.

Requirements

• PhD or MS in Computer Science, ML/AI, or a related field; 3+ years of industry/research experience is a plus.
• Strong Python background; hands-on experience with PyTorch and/or TensorFlow.
• Expertise in NLP, speech processing, or related domains; familiarity with speech synthesis is a plus.
• Experience with large-scale datasets, distributed training, and model deployment.
• Familiarity with cloud platforms (AWS/GCP), ML pipelines, and MLOps practices.
• Excellent communication skills and ability to work effectively in a remote, cross-functional team.
• Publications or prior research experience is a plus.

Benefits

• Competitive compensation and potential equity
• Remote-friendly environment with flexible scheduling
• Health, dental, and vision insurance; 401(k) or equivalent
• Generous PTO and parental leave
• Opportunity to impact accessibility for Speechify users worldwide