Senior Machine Learning Engineer, Cresta
Automatic Speech Recognition
+ Equity
Real-time intelligence for contact centers
Job no longer available
Real-time intelligence for contact centers
501-1000 employees
Job no longer available
+ Equity
501-1000 employees
Company mission
To use AI to help people learn high-value skills and make business radically more productive.
Role
Who you are
- Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
- 5+ years of hands-on experience building, evaluating, and deploying ML models in production
- Strong background in speech recognition (ASR), speech processing, or closely related domains
- Deep experience with model evaluation, benchmarking, and error analysis for ML systems
- Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face)
- Solid understanding of modern ML techniques, including transformer-based models and large-scale training
- Experience building data pipelines and tooling for large-scale experimentation and quality analysis
- Strong passion for improving real-world AI system quality, with a track record of delivering measurable, production-grade improvements
What the job involves
- At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. Our team develops models and platforms that process large-scale, multimodal data—especially speech and text—to extract meaning, improve quality, and deliver actionable insights at scale
- By combining applied research with strong engineering discipline, we enable organizations to continuously improve AI-driven experiences in production environments
- A key focus of this role is advancing model evaluation, measurement, and quality improvements, with particular emphasis on Automatic Speech Recognition (ASR) and downstream NLP systems
- You will design rigorous evaluation frameworks, define quality metrics, and drive systematic improvements to model accuracy, robustness, and reliability
- You will work closely with applied researchers, product teams, and platform engineers to ensure that model performance improvements translate into measurable business impact
- As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Your work will focus on improving ASR quality, building scalable evaluation and benchmarking infrastructure, and enabling continuous model iteration through data-driven insights
- Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems
- Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration
- Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements
- Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation
- Partner with applied research to translate experimental improvements into production-ready systems
- Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals
- Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale
- Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production
- This posting will be used to fill a newly-created role
Our take
Cresta is an innovative customer service platform which leverages artificial intelligence in order to assist sales and service agents in improving their performance. The platform identifies the best employees and analyses why they outperform their colleagues before providing personalised guidance to other members of staff.
This unique approach enables the rapid sharing of best practices, and both improves and consistently implements customer service across an organisation. The app is fully compatible with mobile platforms, effectively providing an expert at every customer touch point. In addition, the machine learning aspect of Cresta enables companies to continuously optimise their performance.
Given that businesses globally spend over a trillion dollars on customer service calls each year, Cresta has a massive opportunity if it can continue to improve this aspect of its business for its clients. The company has already been recognised as an innovator in the space, with Forbes naming it one of the best startup employers of 2026, and the expansion of its AI solutions suggests it's poised and ready to move with the times and find further success.
Steph
Company Specialist at Welcome to the Jungle
Insights
129% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$125m
SERIES D
Mar 2022
$80m
SERIES C
Total funding: $276m
Company benefits
- Work with an A+ team of ex-Founders, world leading scientists, and nationally competitive athletes
- Weekly lunch & learn
- Mentorship - A world class mentorship board advises and mentors our team-members to capture the opportunity ahead of us
Company HQ
Heritage District, Sunnyvale, CA
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