Lead research in machine learning for speech/audio understanding and decision-making at a fast-growing startup.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 5 days ago
Skills & Technologies
Requirements
- Experience
- 5–7 years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The Senior AI Researcher at Wonderful leads the charge in advancing machine learning applications focused on speech and audio understanding, while also overseeing the development of production-ready solutions. This role requires a deep understanding of both classical and modern machine learning techniques, with proficiency in Python and frameworks like PyTorch and TensorFlow. Ideal candidates have 5-7 years of experience in data science and a background in deploying and monitoring models in production, particularly in fast-paced startup environments. The position emphasizes collaboration and continuous improvement, making it suitable for those who thrive in dynamic settings.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Wonderful's career page.
- Wonderful has 153 other open roles including GTM Public Sector, Forward Deployed Engineer, Conversation Experience Designer.
- 6527 active Python roles on Joblaze right now.
- 481 active PyTorch roles on Joblaze right now.
- 223 active TensorFlow roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- How much experience is required?
- 5–7 years of relevant experience for this Senior AI Researcher role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: PyTorch, Python, TensorFlow, scikit-learn.
- What seniority level is this role?
- Wonderful targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior AI Researcher role at Wonderful.
From the original posting
What You'll Do
Lead research efforts in machine learning for agentic flows, with a focus on speech/audio understanding and decision-making.
Explore, design, and evaluate state-of-the-art methods, running rigorous benchmarks and experiments.
Translate research outcomes into robust, production-ready solutions in collaboration with engineering and product teams.
Define metrics, measurements, and error analysis frameworks to ensure robustness and reliability in production.
Monitor deployed models, analyze performance regressions, and drive continuous improvements in accuracy and efficiency.
Act as the team’s primary research authority, staying up to date with the latest advances in ML, deep learning, and speech/audio processing, and applying them to our platform.
What We’re Looking For
5–7+ years of hands-on experience in data science and applied machine learning.
Strong background in both classical ML techniques and modern deep learning methods.
Proven experience deploying, monitoring, and iterating on models in production.
Experience designing and executing rigorous experiments, benchmarks, and error analyses.
Familiarity with agentic or sequential-flow systems (multi-step decision making, fallback logic, orchestration).
Proficiency in Python and ML/DL frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
Strong problem-solving skills, curiosity, and ability to learn quickly.
Great collaborator who values ownership, autonomy, and teamwork.
Experience working in a fast-growing startup, with the ability to operate in a dynamic, fast-paced environment.
Bonus: prior work with speech/audio signals (e.g. ASR, embeddings, signal processing).