Text-to-Speech Engineer
Impact: Accessibility, entertainment, and voice interface naturalness for end users
Build neural text-to-speech systems that generate natural, expressive, and human-like speech from text. Design voice cloning pipelines, prosody models, and real-time synthesis systems for consumer and enterprise voice applications.
What the day looks like
- People interaction
- Minimal
- Team vs solo
- 50% Team / 50% Solo
- Client facing
- Rarely
- Impact visibility
- Moderate
- Travel
- Minimal
- Schedule flexibility
- Flexible
- Remote work
- Mostly Remote
- Typical work hours
- 40 to 50 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $155,000
- Entry-level
- $110,000 - $135,000
- Senior
- $200,000+
- Growth by 2033
- 25% (faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 60 to 80% growth from entry to senior
- Typical student debt
- $30,000 - $80,000
Skills you'll use
Hard skills
- PyTorch
- VITS
- Tortoise-TTS
- Python
- Signal processing
- Voice cloning
- Prosody modelling
Soft skills
- Analytical thinking
- Attention to detail
- Aesthetic sensibility
- Intellectual curiosity
- Persistence
Technical complexity: Very High
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 3 to 5 years
- Years to senior
- 7 to 10 years
- Career switching
- Hard
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- ML Engineer > TTS Engineer > Senior TTS Engineer > Staff Speech Scientist > Principal Voice AI Scientist
Future outlook
- Automation probability
- 12% low risk as the role creates the voice synthesis technology
- AI disruption risk
- Moderate
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7.9/10
- Meaning
- 8/10
- Work-life balance
- 7.2/10
- Prestige
- 7.8/10
- Social perception
- High