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Usermind · 5 hours ago

STAFF APPLIED SCIENTIST

Seattle, WA

Full-time

Hybrid

Senior Level, Lead/Staff

$220K/yr - $315K/yr

7+ years exp

Qualtrics is a leader in Experience Management, serving over 18K clients globally. They are seeking a Staff Applied Scientist to enhance their Machine Learning and Artificial Intelligence R&D, focusing on personalizing the Qualtrics experience and delivering effective ML algorithms and models.

Business IntelligenceMarketing AutomationSaaSSales AutomationSoftware

Growth Opportunities

Responsibilities

Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning, natural language processing, computer vision, and reinforcement learning

Use your understanding of both supervised and unsupervised learning techniques, and their applications in building intelligent systems

Develop and optimize algorithms for building scalable and efficient GenAI applications

Tackle challenging problems in creative ways, leveraging generative models to address real-world use cases and drive innovation

Use effective communication skills to articulate technical concepts to non-technical stakeholders and gather requirements for GenAI application development

Show strong programming skills in languages like Python, along with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar

Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business

Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community

Work closely with, and incorporate feedback from other specialists, engineers, and product managers

Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity

Mentor and grow junior scientists, drive best practices for experimentation, reproducibility, monitoring and lifecycle management, and ensure models are reliable, scalable and impactful in production

Qualification

Machine LearningArtificial IntelligenceDeep LearningPythonNatural Language ProcessingReinforcement LearningModel Life Cycle ManagementGenerative ModelsTensorFlowPyTorchCommunication SkillsProblem Solving

Required

Bachelors and Graduate Degree in Computer Science or related fields

7+ years of industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field

Deep learning implementation expertise (MxNet, TensorFlow, PyTorch etc)

Excellent communication, writing and presentation skills

Excellent command of at least one modern programming language (preferably Python)

Excellent problem solving ability

Deep understanding of machine learning model life cycle management

Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc

Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning

Comfortable working in a fast paced, highly collaborative, dynamic work environment

Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)

Preferred

Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)

Benefits

Wellness Reimbursement for $300 per quarter for wellness activities including gym memberships, spa massages, workout equipment, meditation apps, and much more.

$1800 Experience bonus to be used for an “Experience” of your choosing.

Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&Able, Qualtrics Salute, and Women’s Leadership Development, which exist as places for support, allyship, and advocacy.

Medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.