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AI Scientist III

Sorenson Communications
medical insurance, paid holidays, sick time, 401(k)
United States, Utah, Salt Lake City
4283 590 West (Show on map)
Apr 17, 2025
Description

Come be a part of our mission and make a meaningful and positive impact with the industry leading provider of language services for the Deaf and hard-of-hearing!

Benefits



  • Paid Vacation Time and Paid Sick Time and Paid Holidays
  • 401k 6% match with immediate vesting
  • Nationwide Medical Insurance plans and coverage (Medical, Dental/Orthodontia, Vision)


    • TeleDoc
    • HSA company match
    • 3 Medical plan options including a Low Deductible PPO Medical Plan Offering


  • Employee Assistance Program
  • Engaged Employee Resource Groups
  • Outstanding Learning and Career Development Opportunities



Pay Range: Actual pay may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for incentive compensation.

Essential Duties and Responsibilities



  • Research, develop, and productize state-of-the-art AI models and algorithms using techniques such multi-modal and sequence-based transformer-based architectures, and other emerging technologies.
  • Work with diverse data types, including video, images, and text, to develop and optimize AI models for applications such as text-to-video, and video-to-text, segmentation, feature extraction, and machine translation.
  • Design, implement, and evaluate novel algorithms and large-scale deep learning models to address complex problems in your area of assignment, optimizing for performance, scalability, and user experience across diverse domains.
  • Collaborate with software engineers to deploy scalable, real-time AI systems in the cloud and in-premise, optimizing for efficiency, latency, and memory usage.
  • Create and manage efficient data preprocessing pipelines for generative AI tasks, proactively identifying and integrating new data sources.
  • Write software to integrate AI code into a production system.
  • Maintain a deep understanding of current research, technologies, and emerging trends in AI to inform and guide the development of cutting-edge solutions.
  • Enhance our model serving runtime for efficient serving of natural language models in both streaming and batch applications.
  • Other duties as assigned.



Supervisory Responsibility

This position has no direct supervisory responsibilities but does serve as a coach and mentor for other positions in the department.

Education

4-Year bachelor's degree in computer science, Computer Engineering, Physics, Mathematics, or a related field.

Preferred: Master or PhD degree in a related field. Publications in top conferences such as CVPR, ACL, NeurIPS, ICML, or ICLR are a plus.

Experience

Minimum of 9 Years of experience in an AI field (e.g. deep learning, machine learning, computer vision, natural language processing, or automated speech recognition). A master's degree may be considered equivalent to 2-4 YOE. A Phd may be considered equivalent to 1-3 YOE.

Knowledge, Skills, and Abilities



  • Advanced skills in machine learning, deep learning, computer vision, and generative AI techniques, in areas such as transformer-based architectures, GANs, latent diffusion models, VAEs, cross-attention, and segmentation.
  • Extensive experience with model optimization techniques for efficient inference in real-world applications.
  • Strong desire for continuous learning and staying at the forefront of AI research and development.
  • Extensive experience with large language models, multi-modal learning, and supervised and unsupervised learning.
  • Advanced skills in programming languages like Python or C++, experience with data preprocessing and analysis tools such as NumPy and pandas, and excellent skills with deep learning frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, and Open AI API protocol.
  • Proven experience with computer vision libraries and tools such as autoencoders, OpenCV, scikit-image, ffmpeg, and CUDA.
  • Advanced skills with video, image, and text processing techniques as well as natural language processing concepts and methods.
  • Proven experience with cloud computing services like AWS for training and deploying models at scale.
  • Experience using optimized inference engines like OnnxRuntime or TensorRT and model serving runtimes like Triton Inference Server is desired.
  • Strong understanding of software development processes for translating research into production systems and understanding of experimental design, data analysis, statistics, and data science principles.
  • Familiarity of ASL communication skills.



Company Summary

Our Mission...Harnessing the power of language, we connect diverse people and enrich the human experience.

Our Vision...To provide global language services that expand opportunities, nurture belonging, and empower the world to connect beyond words.

As one of the world's leading language services providers, Sorenson combines patented technology with human-centric solutions. We strive to increase diversity, equity, inclusion, and accessibility for underrepresented people through communication solutions for all: call captioning and video relay services, over-video and in-person sign language and spoken language interpreting, translation, real-time captioning, and post-production language services.

Sorenson's impact vision and plan extends to supporting employment opportunities for diverse employees, customers, and communities. As a minority-owned company, we are committed to expanding opportunities for underserved communities while promoting an inclusive workplace for our own employees.

Equal Employment Opportunity:
Sorenson Communications is an Equal Opportunity, Affirmative Action Employer.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.
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