Sr. AI Engineer

Uniphore Technologies North America Inc; Palo Alto (CA); On-site; USD 169,800 - 233,500; Full time

Benefits offered by this job

Insurance

401(k) with a match

Pre-IPO stock options

Paid time off

Paid holidays

Birthday paid day off

Job summary

Uniphore Technologies North America Inc in Palo Alto is seeking a Senior AI Engineer to harness machine learning and Generative AI techniques effectively. The successful candidate should possess strong foundations in computer science and algorithms, along with significant industry experience.

The role involves evaluating and developing advanced language models for enterprise applications, delivering production-ready code, and working with large datasets. Competitive compensation and benefits, including insurance and pre-IPO options, are offered.

Qualifications

• Master’s or Bachelor’s degree in relevant fields with required experience.
• 5 years industry experience in AI, NLP, Vision, and ASR.
• Expertise in Python and developing production-ready, scalable code.

Responsibilities

• Evaluate and develop state-of-the-art language models.
• Write production-ready code and manage large datasets.
• Collaborate with teams on AI services and solutions.

Skills

Machine Learning

Natural Language Processing

Python programming

Deep Learning

Data analysis

Transformers

PyTorch/TensorFlow

Education

Master’s degree in Computer Science, Engineering or related fields

Bachelor’s degree in Computer Science, Engineering or related experiences

Tools

Docker

AWS

Kubernetes

Hugging Face library

Job description

About the role

As a SR AI Engineer, you will positively impact our customers and end users by utilizing machine learning (ML) and Generative AI techniques. The ideal candidate will have strong foundations in computer science, algorithms, ML/NLP, superb communication skills, relevant industry experience and a proven track record of delivery under tight deadlines.

Responsibilities

• Evaluate, adapt, and develop new state‑of‑the‑art language and/or multimodal foundation models for enterprise applications.
• Perform thorough empirical analysis of the approach and write production‑ready code.
• Develop, modify and fine‑tune ML/NLP and pre‑trained enterprise‑grade large language models (LLMs) and multimodal models.
• Ensure the developed models seamlessly integrate with other tools and company products and are aligned with the feedback that will be generated from enterprise customers.
• Specify guidelines and design annotation processes for data; collaborate with data team on data preprocessing, consumption, and automated/manual annotations.
• Evaluate product and algorithm performance using industry‑standard approaches and develop new evaluation paradigms; build up competencies comparing results of more complex approaches.
• Collaborate with other teams, provide input, and contribute to the delivery of AI services for critical projects.
• Write concise, readable, and modular code, continually improving the code, requiring minimal revision when moved to production.
• Manage large datasets, address and resolve quality issues, and interpret data with a focus on business goals.
• Develop clear documentation of the work plan, its evolution, and results.
• Regularly read and assess publications on existing methods, and compare internal solutions to alternative methods.

Qualifications & Skills

• Master’s degree in Computer Science, Engineering, or related fields plus minimum of 5 years relevant experience; or Bachelor’s degree in Computer Science, Engineering or related experience plus a minimum of 7 years of relevant experience.
• Minimum of 5 years of industry experience in artificial intelligence (AI), Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR).
• In‑depth knowledge of deep learning (DL) with expertise in PyTorch/TensorFlow.
• In‑depth understanding of Transformers, hands‑on experience with the Hugging Face library, and the ability to solve NLP and ASR problems using LLMs.
• Experience working with large datasets, addressing quality issues, and interpreting data with a focus on business goals.
• Expertise in Python programming.
• Hands‑on experience in developing production‑ready, scalable code.
• Ability to lead projects independently and mentor and guide other team members.
• Knowledge of deployment using environments such as Docker, AWS, or Kubernetes.
• Good communication skills.

Benefits

Uniphore offers competitive compensation and premium benefits, including insurance, pre‑IPO options, leave (paid time off, paid holidays, paid day off for your birthday, and other paid leave policies), 401(k) with a match, and more. The position also includes an annual incentive opportunity based on target achievement and pre‑IPO stock options.

Location and Hiring Range

Primary location: USA - CA - Palo Alto. Hiring Range: $169,800 - $233,500.

Equal Opportunity Employer

Uniphore is an equal‑opportunity employer committed to diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.