Principal Applied Research Scientist -AI

At G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere. With remote-first and diverse teams all around the world, our people are key to achieving this mission. That’s why we trust our Dream Team members with the flexibility and autonomy to do their best and most innovative work, encourage and support their personal growth and career development, and believe in recognition for a job well done.  

Our industry-leading SaaS-based Global Employment Platform™ enables our customers to expand and grow into 180+ countries, creating more opportunities for global success – without requiring entity or subsidiary setup. The technical opportunities you’ll experience here have a positive impact on people and their work/life possibilities around the world. Beyond the power of our platform, we never forget that behind every hire is a human being. And that brings us to you. 

If you are passionate about AI and building cutting edge products based on Gen AI and want to solve complex problems that lead to a world of positive results, consider G-P. Here, your knowledge and experience will be crucial to helping design and develop high-performing cloud-based software products using traditional Agile methodologies and modern frameworks.  

Beyond a competitive compensation and benefits package, what we offer to all employees along the way is the clear and simple promise of Opportunity Made Possible. Come expand your skills in new ways and experience the thrill of your best innovations becoming reality.  

Key Responsibilities:

• Drive applied research initiatives and develop innovative algorithms in the areas of NLP and GenAI with tangible business applications and results.
• Collaborate with cross-functional teams to integrate AI technologies into our products and services.
• Secure patents and publish research findings in top-tier journals and at leading international conferences.
• Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics.
• Develop prototypes and proof-of-concepts for potential deployment in operational environments.
• Mentor junior researchers and contribute to the team’s knowledge sharing effort.

Requirements:

• PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Proven track record of research in NLP and GenAI, evidenced by publications, patents, or software releases.
• Strong programming skills in Python, and familiarity with AI frameworks like TensorFlow or PyTorch.
• Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
• Extensive practical experience with curating datasets, training models, running experiments, analyzing post-deployment data, and developing robust metrics to ensure model reliability
• Excellent problem-solving skills and creativity.
• Strong communication skills, both verbal and written, with the ability to present complex technical details to a non-technical audience.

Preferred Qualifications:

• Postdoctoral or industry experience in AI research.
• Contributions to open-source projects.
• Experience in developing scalable AI solutions in a cloud computing environment.
• Experience with LLMs for non-conversational use cases
• Experience with natural language processing for legal applications

We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. 

The annual gross base salary range for this position is $172,000 to $215,000. Actual compensation for this position may vary and will depend on multiple factors including relevant qualifications, experience, education and geographic location. This position is also eligible for an annual bonus dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

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