Wesco

Compensation

Full Description

As the Associate Engineer - Machine Learning, you will be responsible for bridging the gap between data analysis and full machine learning (ML) engineering. You will be accountable for contributing to production ML systems under guidance from senior team members. You will build and improve models, run experiments, and help operationalize ML with guidance from senior team members. Responsibilities: • Develop improvements to ML models to generate new content using ML algorithms in a secure, well-tested, and performant way • Build and test ML models under supervision of senior engineers • Implement algorithms from documentation and examples, modifying and extending existing code • Train, evaluate, and optimize ML models for moderate-scope problems • Work with highly complex data for feature development using ML models; collect, clean, and organize large datasets for analysis, ensuring data accuracy and quality • Perform data preprocessing, feature engineering, and exploratory data analysis; analyze data patterns and extract meaningful insights to inform model development • Collaborate with product managers, engineers, data scientists, and other stakeholders; work closely with senior team members to understand project requirements and translate them into technical solutions • Participate in code reviews and maintain internal standards for style, maintainability, and best practices; document development processes, findings, and results for team knowledge sharing • Ship small features and improvements with guidance and support from team members • Assist with model deployment and monitoring in production environments; run tests and experiments to evaluate AI system functionality and efficiency • Monitor model performance and address issues like drift and accuracy degradation Qualifications: • Bachelors Degree - Data Science, Machine Learning, Computer Science Statistics, Mathematics, or related quantitative field required; Masters Degree preferred • 1 year of professional experience in machine learning, or data science, or related technical field, with 1 year hands-on experience with machine learning algorithms and frameworks (TensorFlow, PyTorch, scikit-learn); Or Master's in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, or related quantitative field • Competent with Python, SQL, and Git/GitHub programing languages • Understanding of supervised and unsupervised learning algorithms • Experience with model evaluation techniques (cross-validation, metrics, performance assessment) • Experience with feature engineering and data preprocessing and statistical analysis and probability concepts • Experience with Scikit-learn for traditional ML algorithms • Experience with TensorFlow OR PyTorch for deep learning (at least one framework) • Familiar with Pandas and NumPy for data manipulation and analysis and Matplotlib/Seaborn for data visualization • Ability to explain technical concepts to non-technical stakeholders • Technical experience across programming, data analysis, or software development preferred • Experience in data engineering, analytics, or software development roles preferred • Industry specific knowledge (Supply Chain) preferred • Experience with AWS, Google Cloud, or Azure cloud ML services preferred • Ability to travel 0% - 25% At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company's greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500 company. Wesco International, Inc., including its subsidiaries and affiliates ("Wesco") provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. This amount is what we reasonably believe we will pay for the position; however, offer amounts may vary based on factors such as geographic location, relevant education, experience, qualifications, skills, shift, or any collective bargaining agreements. For eligible positions, compensation may include participation in a bonus or sales incentive plan,subject to the terms and conditions of the applicable plan documents. For certain sales roles, Wesco also offers a commission structure that provides additional compensation based on sales results, as defined by the applicable commission plan. Depending on the role, equity and other forms of compensation may also be provided as part of the total compensation package. In addition, Wesco offers abenefits program for eligible employees, which may include paid time off, medical, dental, and vision coverage, and retirement savings plans. Additional details about benefits are available here.