Principal Applied Machine Learning Scientist
Qualifications PhD and 2 plus years of professional experience, a MS degree and 5 plus years of professional experience or equivalent professional experience
Qualifications in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering
Experience using databases (e.g., Teradata, Snowflake, s3)
Experience with querying languages (e.g., SQL, SparkSQL)
Demonstrated advanced programming skills with Python, Pyspark, or C++
Expertise in deep neural network architectures (CNN, LSTM, Bi-GRUs), attention networks and dynamic memory networks
Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark)
Experience with cloud computing solutions such as AWS, GCP, or Azure
Experience working in containerization ecosystems (Kubernetes or Docker)
Experience in consumable endpoints development and deployment (Web Applications, REST APIs)
Knowledge in model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning)
Experience using advanced computing technologies when needed (e.g. GPUs)
Followed software engineering practices and collaboration tools (e.g. Git, Bitbucket, GitHub)
Experience building and deploying advanced AI solutions to solve complex business problems
Responsibilities As the Principal Applied Machine Learning Scientist, you will help transform business processes through data-driven technology products.
Reporting to the Senior Manager of Applied Machine Learning, you will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency.
Lead the design and implementation of technical solutions by applying the latest research and AI methods.
Work with business to understand the problem space, identify opportunities, and translate business problems into technical solutions using machine learning frameworks.
Research the latest techniques and technologies in the space of ML/AI, Intelligent automation, NLP, and evaluate their potential for specific business use cases.
Build machine learning pipelines from brainstorming, prototyping, development, and deployment.
Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions.
Research and develop techniques in the field of Large Language Models (LLM) and Generative AI.
Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and deployment.
Collaborate with business, engineering, Machine Learning operations/DevOps, and product teams to design and implement AI solutions.
Compensation This position is salaried and will pay between $139,740.00 - $214,710.00 and will include an annual cash bonus of 15%. The range provided is a guideline and not a guarantee of compensation. Other factors involved in offer decisions include, and are not limited to a candidates experience, qualifications, geography, and internal equity.
Benefits Medical, dental, vision, and life insurance coverage starts day one.
Paid time off (PTO) days and 6 company holidays per year.
6% 401(k) company contribution each pay period.
Education assistance, including financial counseling, tuition reimbursement, and low-cost degree options.
Employee discounts, parental leave, and more.
#J-18808-Ljbffr

<p>Work Location Type:Hybrid About Grainger As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details: Grainger's Product Discovery team seeks a seasoned Senior/Staff Applied ML Scientist to develop cutting-edge recommendation solutions. Leveraging technologies such as Product Graphs, Deep Learning, Graph Neural Networks (GNNs), Large Language Models (LLMs), and Embeddings, our goal is to streamline operational efficiency and facilitate seamless customer experiences. At the heart of our mission, 'We Keep the World Working,' lies the crucial role of Search and Recommendations. Our innovative solutions enable customers to navigate through product categories effortlessly, discover premium products tailored to their needs, and access the most pertinent information, empowering them to make informed purchasing decisions confidently. The preference is for a work location in Chicago, IL on a hybrid basis 8 days a month and relocation assistance may be provided. You Will: Design, build, and maintain advanced machine learning models for our recommendation systems, ensuring they are scalable, efficient, and impactful. Utilize a broad array of technologies including GNNs, LLMs, and Product and Graph Embeddings to enhance Grainger's product discovery experience, making it more intuitive and personalized for our customers. Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms, contributing to a cohesive product discovery journey. Keep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work. Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale. Articulate concepts and generate visual representations of your work and the impact it creates Contribute to the strategic planning and direction of our ML initiatives, ensuring they align with business objectives and drive value Share your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery team You Have: Minimum of 7 years of experience in the industry delivering ML solutions Master's or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience Ability to effectively communicate technical solutions to engineering teams and business audiences Experience with deep learning frameworks such as PyTorch, Jax, TensorFlow, Keras Familiarity with machine learning libraries and tools is essential for developing, training, and deploying models efficiently Experience wrapping models in C/Python code and serving them as APIs Experience optimizing inference speeds of models via quantization, distillation or other means when served as endpoints Experience deploying models into the cloud with tooling like Docker & Kubernetes Experience automating data augmentation and refresh using Airflow and Bash Scripting Preferred: Experience with GNNs to model relationships and interactions within data, crucial for building sophisticated recommendation systems based on Product Graphs Familiarity with using Graphs for in-session recommendation or personalization Understanding of LLMs, including their development and application in processing and understanding natural language, to enhance search and recommendation capabilities Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If you feel you don't have all the desired experience, but it otherwise aligns with your background and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. Rewards and Benefits: With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger. Medical, dental, vision, and life insurance coverage starts day one Paid time off (PTO) days and 6 company holidays per year 6% 401(k) company contribution each pay period Education assistance, including financial counseling, tuition reimbursement and low-cost degree options Employee discounts, parental leave, and more We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance. #LI-GraingerLP</p>

As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details Grainger's Product Discovery team seeks a Sr. Applied Machine Learning (ML) Scientist to develop cutting-edge ML solutions for Product Matching. Our innovative solutions enable customers to discover products that match their needs at market-competitive prices. These solutions are central to Grainger's mission, 'We Keep the World Working.' You will report to Sr Manager, Applied Machine Learning. The work location is hybrid which requires working in either our Chicago or Lake Forest office 2-3 days per week and you have the flexibility to work from home 2-3 days per week. This is not a remote position and we are open to partial relocation assistance. You Will Design, build, deploy, and maintain advanced machine learning models ensuring they are scalable, efficient, and impactful Utilize a broad array of technologies including NLP, LLMs, and computer vision to enhance Grainger's product discovery experience Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms Keep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale Articulate concepts and generate visual representations of your work and the impact it creates Share your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery team You Have At least 3 years of industry experience delivering ML solutions Bachelor's degree in computer science, applied math, physics, or a related field Proficient in Python and SQL Experience with text analytics and natural language processing (NLP) Experience with deep learning and transformer-based modeling methods Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes Experience with machine learning libraries and tools for developing models and deploying them as API endpoints Experience with Git, and Continuous Integration/Continuous Deployment (CI/CD) Ability to effectively communicate technical solutions to both technical and business audiences, both verbally and in writing Preferred Master's or PhD degree Experience in computer vision Understanding of LLMs, including their development and application in processing and understanding natural language Experience working in an Agile environment such as in Scrum or Kanban Rewards and Benefits: With benefits starting day one, our programs provide choice and flexibility to meet team members' individual needs. Check out the highlights below and review all our benefits at . Medical, dental, vision, life, and pet insurance plans and 6 free sessions each year with a licensed therapist to support your emotional wellbeing Paid time off (PTO) and 6 company holidays per year 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no match required Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education and tools Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance. #LI-LP4

<p>Principal Applied Machine Learning Scientist
Qualifications PhD and 2 plus years of professional experience, a MS degree and 5 plus years of professional experience or equivalent professional experience
Qualifications in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering
Experience using databases (e.g., Teradata, Snowflake, s3)
Experience with querying languages (e.g., SQL, SparkSQL)
Demonstrated advanced programming skills with Python, Pyspark, or C++
Expertise in deep neural network architectures (CNN, LSTM, Bi-GRUs), attention networks and dynamic memory networks
Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark)
Experience with cloud computing solutions such as AWS, GCP, or Azure
Experience working in containerization ecosystems (Kubernetes or Docker)
Experience in consumable endpoints development and deployment (Web Applications, REST APIs)
Knowledge in model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning)
Experience using advanced computing technologies when needed (e.g. GPUs)
Followed software engineering practices and collaboration tools (e.g. Git, Bitbucket, GitHub)
Experience building and deploying advanced AI solutions to solve complex business problems
Responsibilities As the Principal Applied Machine Learning Scientist, you will help transform business processes through data-driven technology products.
Reporting to the Senior Manager of Applied Machine Learning, you will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency.
Lead the design and implementation of technical solutions by applying the latest research and AI methods.
Work with business to understand the problem space, identify opportunities, and translate business problems into technical solutions using machine learning frameworks.
Research the latest techniques and technologies in the space of ML/AI, Intelligent automation, NLP, and evaluate their potential for specific business use cases.
Build machine learning pipelines from brainstorming, prototyping, development, and deployment.
Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions.
Research and develop techniques in the field of Large Language Models (LLM) and Generative AI.
Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection.
Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and deployment.
Collaborate with business, engineering, Machine Learning operations/DevOps, and product teams to design and implement AI solutions.
Compensation This position is salaried and will pay between $139,740.00 - $214,710.00 and will include an annual cash bonus of 15%. The range provided is a guideline and not a guarantee of compensation. Other factors involved in offer decisions include, and are not limited to a candidate’s experience, qualifications, geography, and internal equity.
Benefits Medical, dental, vision, and life insurance coverage starts day one.
Paid time off (PTO) days and 6 company holidays per year.
6% 401(k) company contribution each pay period.
Education assistance, including financial counseling, tuition reimbursement, and low-cost degree options.
Employee discounts, parental leave, and more.

#J-18808-Ljbffr</p>

Work Location Type:Hybrid About Grainger As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details: Grainger's Product Discovery team seeks a seasoned Senior/Staff Applied ML Scientist to develop cutting-edge recommendation solutions. Leveraging technologies such as Product Graphs, Deep Learning, Graph Neural Networks (GNNs), Large Language Models (LLMs), and Embeddings, our goal is to streamline operational efficiency and facilitate seamless customer experiences. At the heart of our mission, 'We Keep the World Working,' lies the crucial role of Search and Recommendations. Our innovative solutions enable customers to navigate through product categories effortlessly, discover premium products tailored to their needs, and access the most pertinent information, empowering them to make informed purchasing decisions confidently. The preference is for a work location in Chicago, IL on a hybrid basis 8 days a month and relocation assistance may be provided. You Will: Design, build, and maintain advanced machine learning models for our recommendation systems, ensuring they are scalable, efficient, and impactful. Utilize a broad array of technologies including GNNs, LLMs, and Product and Graph Embeddings to enhance Grainger's product discovery experience, making it more intuitive and personalized for our customers. Work closely with other ML scientists, engineers, and product managers to integrate your models into Grainger's platforms, contributing to a cohesive product discovery journey. Keep abreast of the latest developments in machine learning and related technologies, applying cutting-edge research and methodologies to your work. Work backward from customer use cases, engender implementation of ML models that solves the use cases at scale. Articulate concepts and generate visual representations of your work and the impact it creates Contribute to the strategic planning and direction of our ML initiatives, ensuring they align with business objectives and drive value Share your knowledge and expertise with team members, fostering an environment of learning and growth within the Product Discovery team You Have: Minimum of 7 years of experience in the industry delivering ML solutions Master's or PhD degree in a field such as Applied Mathematics, Physics, Engineering, Computer Science, Electrical Engineering or equivalent experience Ability to effectively communicate technical solutions to engineering teams and business audiences Experience with deep learning frameworks such as PyTorch, Jax, TensorFlow, Keras Familiarity with machine learning libraries and tools is essential for developing, training, and deploying models efficiently Experience wrapping models in C/Python code and serving them as APIs Experience optimizing inference speeds of models via quantization, distillation or other means when served as endpoints Experience deploying models into the cloud with tooling like Docker & Kubernetes Experience automating data augmentation and refresh using Airflow and Bash Scripting Preferred: Experience with GNNs to model relationships and interactions within data, crucial for building sophisticated recommendation systems based on Product Graphs Familiarity with using Graphs for in-session recommendation or personalization Understanding of LLMs, including their development and application in processing and understanding natural language, to enhance search and recommendation capabilities Don't meet every single qualification? Studies show people are hesitant to apply if they don't meet all requirements listed in a job posting. If you feel you don't have all the desired experience, but it otherwise aligns with your background and you're excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team. Rewards and Benefits: With benefits starting day one, Grainger is committed to your safety, health and wellbeing. Our programs provide choice to meet our team members' individual needs. Check out some of the rewards available to you at Grainger. Medical, dental, vision, and life insurance coverage starts day one Paid time off (PTO) days and 6 company holidays per year 6% 401(k) company contribution each pay period Education assistance, including financial counseling, tuition reimbursement and low-cost degree options Employee discounts, parental leave, and more We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance. #LI-GraingerLP

Work Location Type:Hybrid As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details: You will work with a team of world-class scientists and technologists to develop modern capabilities to further Grainger's technological leadership in the MRO industry. You will be a part of the team to build advanced technologies and solutions to solve a wide spectrum of business and customer challenges. Grainger's business-centric innovation methodology will empower the team to experiment with new technology, such as Computer Vision, Deep Learning, Conversational AI, 3D Imaging and LiDAR, Augmented/Virtual Reality, AI Robotics and IoT, and multimodal Machine Learning. You will work with other production teams within Grainger's Technology Group (GTG) to harvest innovations into product roadmaps and scale them for production. We are looking for a Senior Applied Machine learning Scientist with experience in AI/ML technologies, specifically in the area of Large Language Models (LLMs). You will manage the development of Machine Learning algorithms and models particularly in NLP and Multi-modal context. You will work with teams to identify problems and create high-quality solutions. You will report into the Manager, Applied Machine Learning. This is a hybrid role based out of our Lake Forest office. You Will: Study MRO challenges with product partners, propose solutions, prototype and present learnings and results. Design, propose, evaluate algorithms, techniques and architectures. Evaluate, adapt, fine-tune LLMs, multimodal architectures and computer vision models. Develop production ready code, test, deploy with the help of engineering and MLOps partners. Stay up to date with the latest developments in AI/ML technologies by researching new methodologies and integrating them into existing systems. You Have: Master's or PhD degree in Computer Science, Electrical Engineering, or a related field At least 5 years of experience in machine learning, with a focus on NLP and Computer Vision Proficiency in programming languages such as Python and C++ Experience with deep learning frameworks such as TensorFlow or PyTorch Familiarity with large-scale data processing and cloud computing platforms Excellent problem-solving skills and ability to work collaboratively in a team environment Familiarity with deployment pipelines, model delivery and monitoring in production environments Familiarity with transformer architectures, fine-tuning LLMs and techniques specific to NLP (tokenization, Named Entity Recognition, text analysis) Understanding how to combine text with other modalities to enhance model capabilities for industrial applications Excellent written and verbal communication skills as evidenced by internal, academic, or industry publications and presentations in their domain of expertise We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.

<p><b>Principal Applied Machine Learning Scientist </b> </p><h3>Qualifications </h3><ul><li>PhD and 2 plus years of professional experience, a MS degree and 5 plus years of professional experience or equivalent professional experience </li><li>Qualifications in a technical field such as Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, Applied Science or Engineering </li><li>Experience using databases (e.g., Teradata, Snowflake, s3) </li><li>Experience with querying languages (e.g., SQL, SparkSQL) </li><li>Demonstrated advanced programming skills with Python, Pyspark, or C++ </li><li>Expertise in deep neural network architectures (CNN, LSTM, Bi-GRUs), attention networks and dynamic memory networks </li><li>Demonstrated knowledge of advanced data science toolsets (e.g., Tensorflow, Pytorch, Scikit-Learn, Airflow, Spark) </li><li>Experience with cloud computing solutions such as AWS, GCP, or Azure </li><li>Experience working in containerization ecosystems (Kubernetes or Docker) </li><li>Experience in consumable endpoints development and deployment (Web Applications, REST APIs) </li><li>Knowledge in model risk management strategies (model registry, concept/covariate drift monitoring, Hyperparameter tuning) </li><li>Experience using advanced computing technologies when needed (e.g. GPUs) </li><li>Followed software engineering practices and collaboration tools (e.g. Git, Bitbucket, GitHub) </li><li>Experience building and deploying advanced AI solutions to solve complex business problems </li> </ul><h3>Responsibilities </h3><ul><li>As the Principal Applied Machine Learning Scientist, you will help transform business processes through data-driven technology products. </li><li>Reporting to the Senior Manager of Applied Machine Learning, you will build scalable machine learning applications by developing and deploying machine learning and deep learning models that improve the effectiveness of our business operations, designing machine learning processes against requirements and automating work across the organization to improve our speed and efficiency. </li><li>Lead the design and implementation of technical solutions by applying the latest research and AI methods. </li><li>Work with business to understand the problem space, identify opportunities, and translate business problems into technical solutions using machine learning frameworks. </li><li>Research the latest techniques and technologies in the space of ML/AI, Intelligent automation, NLP, and evaluate their potential for specific business use cases. </li><li>Build machine learning pipelines from brainstorming, prototyping, development, and deployment. </li><li>Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions. </li><li>Research and develop techniques in the field of Large Language Models (LLM) and Generative AI. </li><li>Manipulate high-volume, high-dimensionality data from multiple sources, visualize patterns, anomalies, relationships, and trends, and perform feature engineering and selection. </li><li>Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and deployment. </li><li>Collaborate with business, engineering, Machine Learning operations/DevOps, and product teams to design and implement AI solutions. </li> </ul><h3>Compensation </h3><p>This position is salaried and will pay between $139,740.00 - $214,710.00 and will include an annual cash bonus of 15%. The range provided is a guideline and not a guarantee of compensation. Other factors involved in offer decisions include, and are not limited to a candidate’s experience, qualifications, geography, and internal equity. </p><h3>Benefits </h3><ul><li>Medical, dental, vision, and life insurance coverage starts day one. </li><li>Paid time off (PTO) days and 6 company holidays per year. </li><li>6% 401(k) company contribution each pay period. </li><li>Education assistance, including financial counseling, tuition reimbursement, and low-cost degree options. </li><li>Employee discounts, parental leave, and more. </li> </ul>#J-18808-Ljbffr

<p>Work Location Type:Hybrid As a leading industrial distributor with operations primarily in North America, Japan and the United Kingdom, We Keep The World Working by serving more than 4.5 million customers worldwide with products delivered through innovative technology and deep customer relationships. With 2023 sales of $16.5 billion, we're dedicated to providing value for customers, fostering an engaging culture for team members and driving strong financial results. Our welcoming workplace enables you to learn, grow and make a difference by keeping businesses running and their people safe. As a 2024 Glassdoor Best Place to Work and a Great Place to Work-Certified company, we're looking for passionate people to join our team as we continue leading the industry over our next 100 years. Position Details: You will work with a team of world-class scientists and technologists to develop modern capabilities to further Grainger's technological leadership in the MRO industry. You will be a part of the team to build advanced technologies and solutions to solve a wide spectrum of business and customer challenges. Grainger's business-centric innovation methodology will empower the team to experiment with new technology, such as Computer Vision, Deep Learning, Conversational AI, 3D Imaging and LiDAR, Augmented/Virtual Reality, AI Robotics and IoT, and multimodal Machine Learning. You will work with other production teams within Grainger's Technology Group (GTG) to harvest innovations into product roadmaps and scale them for production. We are looking for a Senior Applied Machine learning Scientist with experience in AI/ML technologies, specifically in the area of Large Language Models (LLMs). You will manage the development of Machine Learning algorithms and models particularly in NLP and Multi-modal context. You will work with teams to identify problems and create high-quality solutions. You will report into the Manager, Applied Machine Learning. This is a hybrid role based out of our Lake Forest office. You Will: Study MRO challenges with product partners, propose solutions, prototype and present learnings and results. Design, propose, evaluate algorithms, techniques and architectures. Evaluate, adapt, fine-tune LLMs, multimodal architectures and computer vision models. Develop production ready code, test, deploy with the help of engineering and MLOps partners. Stay up to date with the latest developments in AI/ML technologies by researching new methodologies and integrating them into existing systems. You Have: Master's or PhD degree in Computer Science, Electrical Engineering, or a related field At least 5 years of experience in machine learning, with a focus on NLP and Computer Vision Proficiency in programming languages such as Python and C++ Experience with deep learning frameworks such as TensorFlow or PyTorch Familiarity with large-scale data processing and cloud computing platforms Excellent problem-solving skills and ability to work collaboratively in a team environment Familiarity with deployment pipelines, model delivery and monitoring in production environments Familiarity with transformer architectures, fine-tuning LLMs and techniques specific to NLP (tokenization, Named Entity Recognition, text analysis) Understanding how to combine text with other modalities to enhance model capabilities for industrial applications Excellent written and verbal communication skills as evidenced by internal, academic, or industry publications and presentations in their domain of expertise We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment. With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.</p>

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Machine Learning Scientist Grainger Jobs

Principal Applied Machine Learning ScientistDecember 19, 2024

Staff Applied Machine Learning ScientistDecember 11, 2024

Senior Applied Machine Learning ScientistDecember 10, 2024

Principal Applied Machine Learning ScientistDecember 10, 2024

Staff Applied Machine Learning ScientistDecember 10, 2024

Sr Applied Machine Learning ScientistDecember 10, 2024

Principal Applied Machine Learning ScientistDecember 9, 2024

Sr Applied Machine Learning ScientistDecember 9, 2024