Senior Machine Learning Engineer

🕒 March 2

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Cresta

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Cresta is an enterprise-grade AI platform that focuses on enhancing contact center operations. By employing a unified platform for human and virtual agents, Cresta aims to improve customer experience, increase revenue, and reduce costs. The platform integrates AI to assist with sales, customer care, retention, and collections, providing real-time guidance and insights. Cresta's AI capabilities include conversation intelligence, agent assistance, quality management, and virtual agents. With a focus on automation and augmentation, Cresta seeks to transform workflows and customer interactions across various industries, including telecommunications, finance, and retail.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Compensation for this position includes a base salary, equity, and a variety of benefits.