Senior Machine Learning Engineer
Share
Job Location:
Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
About the role:
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 dataespecially speech and textto 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 advancingmodel evaluation measurement and quality improvements with particular emphasis onAutomatic 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 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 maintainevaluation frameworksto measure model accuracy robustness latency and real-world performance across ASR and NLP systems.
- LeadASR 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.
- Masters 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 inspeech recognition (ASR) speech processing or closely related domains.
- Deep experience withmodel evaluation benchmarking and error analysisfor 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.
Compensation for this position includes a base salary equity and a variety of benefits. Actual base salaries will be based on candidate-specific factors including experience skillset and location and local minimum pay requirements as applicable.
This posting will be used to fill a newly-created role.
We have noticed a rise in recruiting impersonations across the industry where scammers attempt to access candidates personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @ outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee reach out to
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
