Natural Language Processing Applied Researcher

Natural Language Processing Applied Researcher – Perm – Austin, TX. - $163,000 - $200,000
The end client is unable to sponsor or transfer visas for this position; all parties authorized to work in the US without sponsorship are encouraged to apply.

An American Company is seeking a Natural Language Processing Applied Researcher in Austin, TX.

Role Description

You will work in the area of Natural Language Processing (NLP) and Machine Learning (ML), driving the future of NLP and related applications at company. You will approach some of the most interesting AI problems company is facing in this area. Join our tightly-knit team of standouts who enjoy working on large-scale, challenging, and exciting problems. We work in focused and collaborative project teams following an agile methodology. You will feel like you are working in a startup, while at the same time having the resources of a large company.

Areas of work include (but not limited to):
• Deep Learning
• Transfer learning and domain adaptation
• Language Models
• Multimodal Deep Learning
• Weakly Supervised and Semi-Supervised Learning
• Language Understanding, and Language Generation

Responsibilities:
• Actively leads on one or more technical areas of research and development of ML and NLP technologies
• Develop and improve NLP applications
• Work with engineers and other multi-functional teams, including Applied Researcher, Project Managers, QA, etc.
• Highly visible across major Engineering organizations, and regularly visible through external forums such as conferences, workshops, or open-source initiatives
• Leads collaboration with other research teams in company to build the best of breed experience
• Research and stay up-to-date with state of the art in Deep Learning and NLP. Publishing is strongly encouraged.

Skills & Requirements

• Ph.D. program in Computer Science or related disciplines or a Master’s degree plus three years of research experience
• Can rapidly experiment and prototype in Python and is capable of working on production systems
• Hands-on experience with PyTorch or TensorFlow
• Hands on experience with NLP algorithms
• Proficient in machine learning with a focus on neural networks
• Experience in large scale research projects that resulted in working and scalable products
• Strong research track record, publications in at least one outstanding machine learning or NLP conference such as ACL, NeurIPS, EMNLP, ICML, ICASSP, KDD, AAAI, etc.
• Collaboration skills and ability to influence a multi-functional team to deliver results
• Strong written and oral communication skills
• Excellent analytical skills
• Experience in mentoring and guiding junior researchers and research engineers is preferred.

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

Nervous about an upcoming interview? Unsure how to write a new resume?

Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.

Hays is an Equal Opportunity Employer including disability/veteran.

In accordance with applicable federal and state law protecting qualified individuals with known disabilities, Hays U.S. Corporation will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570

Drug testing may be required; please contact a recruiter for more information. #1140760

Summary

Job Type
Permanent
Industry
Technology & Internet Services
Location
Austin
Specialism
Infrastructure
Pay
163,000 - 200,000
Ref:
1140760

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