Senior Machine Learning Engineer - NLP

at  ObserveAI

ABOUT US

Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.
Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.

WHAT YOU’LL DO DAY TO DAY

• ML Development: Engage in the full lifecycle of machine learning model development, from initial concept and data collection to training, evaluation, and deployment in production environments.
• Solution Crafting: Work closely with our partners and product managers to understand their specific problems and develop tailored ML solutions to address these challenges effectively.
• Innovation and Research: Stay abreast of the latest advancements in ML, DL, and NLP. Introduce and evangelize new technologies and methodologies that can benefit the Observe.AI ecosystem.
• High Stakes in Production: The systems you design are critical to our customers’ operations, requiring resilience and low-latency performance. Your role will focus on ensuring these systems are reliable and predictable in production, minimizing downtime.
• Community Engagement: Contribute to the broader ML community through technical blogs and publications, enhancing both your and the company’s presence in the field.

WHAT YOU’LL BRING TO THE ROLE

• Educational Background: Master’s or Ph.D degree in Computer Science or a related discipline with a strong foundation in ML, DL, and NLP.
• Professional Experience: At least 4 years of industry experience in building and scaling large-scale NLP systems.
• Technical Expertise: Deep understanding of ML and NLP fundamentals, with practical experience in deploying machine learning models in production. Proficiency in Python and ML frameworks like Pytorch, TensorFlow, TensorRT and Sagemaker/VertexAI.
• Knowledge of NLP Trends: Solid grasp of recent trends in NLP, including transformers, language models, text classification, generative approaches, entity recognition, prompting techniques, question answering, information retrieval, and more.
• Soft Skills: Excellent communication, collaboration, and presentation skills are essential, as is the ability to provide thought leadership and influence product development.
• Additional Qualifications: Experience with Spoken Language Understanding or Conversational AI, publications in top NLP conferences, and relevant open-source contributions are desirable.