Principle Applied Machine Learning Scientist

Principle Applied Machine Learning Scientist Are you a seasoned Machine Learning Scientist with a passion for innovation? We are seeking a Principal Applied Machine Learning Scientist to join their dynamic team. In this full-time remote role, you'll have the opportunity to shape the future of the company by applying cutting-edge technologies like deep neural networks, attention networks, and dynamic memory networks. You'll leverage advanced data science toolsets such as TensorFlow, PyTorch, Scikit-Learn, and Airflow, and work with cloud computing solutions like AWS, GCP, and Azure. If you're excited about leading the charge in data-driven technology products and solving complex business problems, this role offers a thrilling opportunity for growth and impact.

We are a leading broad line distributor with operations primarily in North America, Japan, and the United Kingdom. We achieve our purpose, by serving more than 4.5 million customers with a wide range of products that keep their operations running and their people safe. We also deliver services and solutions, such as technical support and inventory management, to save customers time and money.

We're looking for passionate people who can move our company forward. As one of the 100 Best Companies to Work For, we have a welcoming workplace where you can build a career for yourself while fulfilling our purpose to keep the world working. We embrace new ways of thinking and recognize everyone is an individual. Required Skills & Experience

• MS degree or 5+ years of equivalent experience
• Understanding of machine learning and deep learning techniques, including neural network architectures like CNN, LSTM, and Bi-GRUs
• Strong programming skills in languages such as Python, Pyspark, or C++
• Proficiency in data science toolsets like TensorFlow, PyTorch, Scikit-Learn, Airflow, and Spark
• Experience with cloud computing platforms like AWS, GCP, or Azure
• Familiarity with containerization ecosystems like Kubernetes or Docker

Desired Skills & Experience

• Proficiency in NLP techniques and tools, including text processing, sentiment analysis, and language modeling
• Having expertise in deploying machine learning models to production environments and implementing model monitoring strategies, including concept/covariate drift monitoring
• Experience in utilizing advanced computing technologies like GPUs
• Familiarity with model risk management strategies, such as model registry and hyperparameter tuning

What You Will Be Doing Tech Breakdown

• 50% Machine Learning Frameworks
• 40% Cloud Computing Platforms
• 10% Containerization Technologies

Daily Responsibilities

• 60% Hands On
• 25% Management Duties
• 15% Team Collaboration

The Offer

• Bonus eligible

You will receive the following benefits:

• Medical Insurance
• Life Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 6% 401(k) company contribution each pay period

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.