13 Ml Techniques Jobs

The Digital & Innovation group at USP is looking for a Data Scientist with expertise in advanced analytics, including predictive modeling, machine learning, and natural language processing, as well as data visualization. As a Data Scientist at USP, you will be involved in projects that drive innovations and deliver digital solutions, contributing to USP's public health mission of increasing access to high-quality, safe medicine and improving global health through public standards and related programs. Your role will involve utilizing exploratory data analysis to identify anomalies, patterns, and test hypotheses, applying machine learning techniques for classification and regression tasks, using natural language processing to extract information and enhance business workflows, and effectively communicating results to diverse audiences. The ideal candidate for this role will have a Bachelor's degree in a relevant field or equivalent experience, along with 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing for a Senior Data Scientist position, or 8-10 years for a Lead Data Scientist position. Technical proficiency in Python and related packages, as well as SQL, is required, along with experience in CNN/RNN models, data extraction, and scraping. Additional desired preferences include a Master's degree, experience in scientific chemistry or life sciences, proficiency in GenAI concepts with graph data, and the ability to translate stakeholder needs into technical project outputs. USP offers a comprehensive benefits package to ensure the personal and financial well-being of its employees and their families. If you are a self-directed individual with strong communication skills, the ability to handle multiple projects simultaneously, and make tough decisions when necessary, this role at USP may be the perfect fit for you.,

Job Title: Business Analyst, Act as SME for Oil & Gas (Frac, drilling, production analytics), Define & validate data visualizations (charts, graphs, time-series, pressure-depth).6+ years in Business Analysis (Oil & Gas domain)

The Computational Fluid Dynamics (CFD) Research Group at the School of Mechanical Engineering, Vellore Institute of Technology (VIT), Chennai, is seeking applications for a PhD research position focused on investigating the thermal performance of nanofluids using machine learning modeling techniques. The research aims to enhance heat transfer efficiency through the exploration of multiphase turbulent modeling, nanoparticle shape effects, and innovative approaches in nanofluid heat transfer. The project will involve conducting CFD simulations to analyze fluid flow, convective heat transfer, and nanoparticle dispersion. Additionally, machine learning techniques will be utilized to optimize performance across varying operating conditions. The successful candidate will be involved in developing high-fidelity CFD models integrated with data-driven machine learning frameworks to predict and improve heat transfer characteristics for applications in thermal management, energy systems, and cooling technologies. Eligibility and Fellowship Details: This research position is supported by the institute's research fellowship program and is open to candidates holding either Masters or Bachelors degrees. Candidates with the following educational backgrounds are eligible to apply: - Masters degree (M.Tech/M.E/M.Sc) in Mechanical Engineering, Thermal Engineering, or a related field such as Applied Mathematics. - Bachelors degree (B.Tech/B.E) in Mechanical, Aeronautical, or Automobile Engineering. Fellowship details and research support options are as follows: - For Masters degree holders: A fellowship of 31,000 per month for the first year, increasing to 35,000 per month for the second and third years (total duration: three years). - For Bachelors degree holders: A fellowship of 21,000 per month for the first two years, increasing to 30,000 per month for the third and fourth years (total duration: four years). Additionally, the institute offers a Raman Research Award of up to 1 lakh for outstanding research publications and provides funding support for conference presentations and journal publications. Preferred Skills: - Proficiency with CFD tools such as ANSYS Fluent and OpenFOAM. - Strong programming skills in MATLAB, C, and Python. - Excellent verbal and written communication abilities. Start Date: June 2025 Application Process: Interested candidates are required to submit a comprehensive CV along with contact details for at least two academic or professional references to harish.r@vit.ac.in before March 28, 2025. For more information, please contact the provided email address.,

You should possess a Master's or PhD degree to be considered for this role. You must have experience in object detection, tracking, classification, recognition, scene understanding, and facial expression analysis. Proficiency in ML techniques such as SVM, boosting, K-means, KNN, HMM, GMM, Ensemble classifier, deep learning, etc., is required. It is essential to have international publications in relevant fields in top-tier conferences and journals. A strong mathematical understanding of signal processing algorithms is necessary, along with up-to-date knowledge of recent trends in machine learning/vision. You should have a solid background in image and video processing techniques, specifically for image/video analysis and enhancement. A robust experience in software engineering, including a good understanding of software architecture, optimization, and programming patterns and paradigms, is expected. Proficiency in prototyping computer vision algorithms in C/C++ is preferred. The ideal candidate should have at least 3+ years of experience after completing a Master's degree or 0+ years of experience after obtaining a Ph.D. The role involves researching and developing algorithms for image and video processing, including facial analysis, object detection, scene analysis, concept recognition, etc., to extract rich and detailed context from images and videos. You will be responsible for implementing novel computer vision and machine learning techniques, improving performance, and extending the capabilities of existing products. Please reach out to Ram at +91 98 1845 4080 / 98 6860 9864 for further information or application. (Note: This job description was sourced from hirist.tech),

Job Description At American Express, our culture is built on a 175-year history of innovation, sharedand Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: Global Services Group (GSG) brings together the company's external and internal servicing functions. SABE Sales and Business Enablement (SABE) is an internal servicing team within GSG providing sale performance reporting and business enablement support to the enterprise. The objective of the SABE Performance Reporting and Insights team is to ensure that Commercial and Merchant businesses have timely and accurate reporting, insights and forward-looking actions to help drive business performance. In addition to the reporting and insights, the team is also responsible for Sales Incentive Processing for GMNS sales colleagues. Responsibilities: The position provides a unique opportunity for an individual to build his skill across reporting, incentives, and platform management. Specifically, the position will be responsible for development & ongoing delivery of Performance Reporting & Insights Suite, Sales Incentive Processing, and management of incentive platform for Merchant Acquisition within Global Merchant & Network Services. This role places a focus on ability to think analytically and rationally, to synthesize complex data & deliver reporting, incentive calculation for sales colleagues in GMNS business and managing incentive and reporting platform. Deliver comprehensive performance reporting and Insights to help the leadership team and individuals evaluate and drive business performance Ensure timely and accurate quarterly incentive calculation for sales colleague Run/Design incentive calculation model, perform high quality due diligence on the payments for the given portfolio/s Manage Reporting & Incentive Platform Ensure strict adherence of control and compliance and related policies Partner with functional leaders, Strategic Business Partners and senior leaders to remove friction points, ensure data integrity for reporting and insights to fulfill business requirements and enable actions. Understand complex operational systems and business intelligence tools, sales Platforms for developing efficient, insightful products and offerings for customers Devise process improvement tools and methodologies that will ensure flawless delivery exceeding customer expectations. Evolve reporting to meet key business priorities, engage early on with stakeholders, gain buy in for implementing proposed solutions. Leverage best practices internally and bring outside-in perspective to deliver best of breed reporting and insights Good communication skills and ability to work with stakeholders across different geographical locations Critical Factors to Success (Outcome Driven): Business Outcomes: Strong analytical skills and an innovative approach to solving both practical and theoretical problems and a tremendous will to win Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities Ability to interpret insights to derive strong requirements and prioritization based on data. Strong people relationship building, management and influencing skills Exceptional verbal, written, and interpersonal communication skills Engage with key stakeholders to drive initiatives to enhance sales experience. Automate and standardize reporting processes Leadership Outcomes: Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings Demonstrate learning agility, make decisions quickly and with the highest level of integrity Lead with a digital mindset and deliver the world's best customer experiences every day Minimum Qualifications Past Experience 3-4 years relevant experience with excellent knowledge of Reporting, Incentive Processing and Visualization tools Functional Understanding of sales business process Exposure to Sales Incentive Plan & Design constructs Analytics & reporting domain experience Technical Analytics & Insights & Targeting Strong Python, SAS, SQL Preferred knowledge of XML Basic Statistical Knowledge: Hive/ML techniques Advanced data manipulation & automation skills Data visualization (Tableau, Power BI) Preferred: Data Analytics , Automation experience Platforms Big Data Platforms: Cornerstone Visualization Platforms: VBA, Tableau Advanced MS Office Suites (Word, Excel, Power-point, Access) Amex Platform Knowledge: CS/ CODL Behavioral Enterprise Leadership Behaviors Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

As a part of this role, you will be responsible for setting up a Center of Excellence (CoE) and business practice for Enterprise AI solutions. You will be tasked with establishing Data Science & Analytics as a Service (DaaS) and building a practice with capabilities to create solution blueprints and roadmaps, orchestrate data acquisition, management, and engineering, as well as develop AI/ML models to solve analytical problems. It will be essential to stay updated with industry trends and developments to ensure the practice remains cutting-edge. In addition, you will promote collaboration and engagement within the team and with stakeholders. Your responsibilities will include creating technical Proof of Concepts (POCs) and solution demos, driving discussions to evaluate and design AI/ML solutions for various engagements, and implementing a framework across the solutions development lifecycle phases. You will also be required to develop a value tracking mechanism to monitor the Return on Investment (ROI) for AI/ML projects. Furthermore, a key aspect of this role will involve hiring, training, and mentoring a team of AI/ML experts to deliver technical solutions based on AI/ML products and platforms. It will be crucial to possess technical skills such as expertise in AI/ML, statistical modeling, ML techniques, and concepts, as well as experience with agile software development methodology and big-data projects. You should also have a fair understanding of verticals like Insurance, Manufacturing, and Education. Moreover, familiarity with tools and techniques related to data preparation, movement, analysis, visualization, machine learning, and Natural Language Processing (NLP) is essential. Experience in AI/ML enabled solution development leveraging high volume and high-velocity data across disparate systems and supporting large-scale Enterprise analytical solutions will be advantageous. Additionally, having a vision and the ability to set up solution practice groups will be beneficial. In terms of technical skills, it is required to have experience with Spark/Spark MLlib, visualization tools like Tableau/Power BI/Qlik View, cloud platforms such as Azure ML/AWS SageMaker/Snowflake, ML Ops, Automated ML, NLP, and Image/Video Analytics. Non-technical skills like possessing a master's degree in relevant fields, excellent interpersonal and people skills, analytical mindset, good debugging skills, and strong verbal and written English communication skills are also mandatory. Overall, this role offers a challenging opportunity to lead and drive AI/ML initiatives within the organization, requiring a combination of technical expertise, leadership skills, and a passion for innovation in the field of data science and analytics.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

At Lilly, we are committed to uniting caring with discovery to enhance the quality of life for individuals worldwide. As a global healthcare leader headquartered in Indianapolis, Indiana, we have a workforce of 39,000 employees dedicated to developing and delivering life-changing medicines, advancing disease understanding and management, and contributing to our communities through philanthropic efforts. Our priority is always people, and we are in search of individuals who share our passion for making a positive impact on global well-being. As part of our ongoing efforts to achieve these goals, we are focused on building and internalizing a cutting-edge recommendation engine platform. This platform is designed to facilitate more agile sales and marketing operations by incorporating various data sources, implementing advanced personalization models, and seamlessly integrating with all other Lilly operations platforms. The ultimate aim is to provide tailored recommendations to sales and marketing teams at the individual doctor level, thereby enhancing decision-making processes and elevating customer experiences. Key Responsibilities: - Demonstrate a strong grasp of deep learning models to develop optimized Omnichannel Promotional Sequences for implementation by sales teams - Analyze extensive datasets to identify trends and insights that inform modeling decisions - Ability to translate business challenges into statistical problem statements, propose solution approaches, and consider relevant constraints - Collaborate with stakeholders to effectively communicate analysis findings - Proficiency in pharma datasets and industry knowledge is advantageous - Experience in code refactoring, training, retraining, deployment, testing, and monitoring of ML models for drift - Optimization of model hyperparameters - Willingness to learn new skills, particularly in ML applications for solving business problems Required Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field preferred - 2-6 years of hands-on experience with data analysis, including coding, summarization, and interpretation - Proficient in coding languages like SQL or Python - Prior experience in deploying, evaluating performance, and fine-tuning recommendation engine models using ML techniques (e.g., CNN/LSTM, GA, XGBoost) for healthcare-related industries - Proficiency in Feature Engineering, Feature Selection, and Model Validation on Big Data - Familiarity with cloud technologies such as AWS, including tools like S3, EMR, EC2, Redshift, Glue; experience with visualization tools like Tableau and Power BI is a plus At Lilly, we are dedicated to fostering an inclusive workforce that provides equal opportunities for individuals with disabilities. If you require accommodations to apply for a position at Lilly, please complete the accommodation request form for further assistance. Please note that this form is specifically for accommodation requests related to the application process.,

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations and other related algorithms to impact and optimize Apples supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

As a Senior Cloud AI/ML Architect, you will be responsible for collaborating with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. Your role will involve understanding customer business problems and assisting in implementing AI solutions, including generative AI. You will also be required to develop and deliver compelling technical demonstrations for business and technical leaders, design and architect state-of-the-art AI/ML solutions, and extract and share best practices, reference architectures, and patterns for reuse within the company. Additionally, you will prototype and validate innovative AI solutions across diverse industry verticals. About the Team: You will be part of a cross-functional team at Aivar that helps AWS customers accelerate the use of AI/ML, Generative AI, and realize transformational business opportunities. The team comprises ML scientists, engineers, architects, and strategists who work with customers step-by-step to build bespoke solutions. Preferred Technical Qualifications: - 10+ years of design, implementation, or consulting experience in applications and infrastructure - Experience using managed AI/ML services and solutions - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services - Strong experience in applying machine learning models for business application - Strong programming skills in Python, TypeScript, Java, or related language - Strong understanding of AI/ML frameworks - Demonstrated track record of learning emerging AI/ML and Generative AI technologies - Experience working across varied business environments - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats - Deep understanding of generative AI technologies and large language models - Portfolio showcasing innovative AI/ML solutions Preferred Soft Skills: - Collaboration Skills: Ability to work effectively with diverse teams - Exceptional Communication: Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders - Innovative Problem-Solving: Ability to tackle unique challenges with innovative AI/ML solutions - Adaptability and Continuous Learning: Capacity to learn and apply emerging AI/ML technologies - Leadership and Mentorship: Experience mentoring team members and fostering a culture of innovation and excellence Certifications: - AWS Certified Solutions Architect Associate - AWS Certified Solutions Architect Professional - AWS Certified Developer Associate (optional) - AWS Certified Machine Learning Specialty - AWS Certified Data Analytics Specialty - AWS Certified AI Practitioner (optional but valuable) - AWS Certified Database Specialty (optional but valuable) - AWS Certified Security Specialty (optional but valuable) This is a full-time position with benefits including health insurance and paid sick time. The work location is in person.,

Join us as a Data Scientist and embark on an exciting journey of discovery, insights, and innovation in the data science space. You will work at the intersection of analytics and engineering to uncover valuable insights hidden within our data. With an abundance of data at your fingertips and cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work. If you have the desire and tenacity to embark on a steep learning curve in this exciting and rapidly evolving field, apply now. This role is offered at the associate vice president level. As a Data Scientist, you will combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, enabling more powerful predictive targeting and modeling. You will work closely with stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics. Your responsibilities will include developing hypotheses, articulating data collection needs, determining analyses to run, and selecting approaches that deliver the most value. You will utilize predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL). Additionally, you will build, train, and monitor ML models, as well as write programs that automate data collection, processing, model building, and deployment. Your role will involve bringing solutions and opportunities to life by clearly conveying results" meaning through impactful data visualization and storytelling. You will provide actionable insights to decision-makers and stakeholders at every level of technical understanding. To excel in this role, you should have a minimum of eight years of experience, an aptitude for advanced mathematics and statistics, and curiosity about the evolving role of data in shaping the next generation of financial services. You will demonstrate proficiency in Python, Pyspark, or SQL programming skills, as well as experience with AWS, Azure, or Google Cloud. Knowledge of statistical modeling and ML techniques, along with proficiency in data visualization, is essential. If you do not have a university degree, but believe you are the best fit for this position and can showcase your abilities in your application, we encourage you to apply.,

At Lilly, you are part of a global healthcare leader that is committed to uniting caring with discovery to enhance the lives of people worldwide. With our headquarters in Indianapolis, Indiana, our dedicated team of 39,000 employees collaborates to discover and deliver life-changing medicines, enhance disease understanding and management, and contribute to our communities through philanthropy and volunteerism. Our focus is on making a positive impact on people's lives around the world. As part of our ongoing efforts, we are in the process of developing and internalizing a cutting-edge recommendation engine platform. This platform aims to streamline sales and marketing operations by analyzing diverse data sources, implementing advanced personalization models, and seamlessly integrating with other Lilly operations platforms. The goal is to provide tailored recommendations to our sales and marketing teams at the individual doctor level, enabling informed decision-making and enhancing customer experience. Responsibilities: - Utilize deep learning models to optimize Omnichannel Promotional Sequences for sales teams - Analyze large datasets to identify trends and relevant information for modeling decisions - Translate business problems into statistical problem statements and propose solution approaches - Collaborate with stakeholders to effectively communicate analysis findings - Preference for familiarity with pharmaceutical datasets and industry - Experience in code refactoring, model training, deployment, testing, and monitoring for drift - Optimize model hyperparameters and adapt to new ML techniques for business problem-solving Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field (preferred) - 2-6 years of hands-on experience with data analysis, coding, and result interpretation - Proficiency in coding languages like SQL or Python - Prior experience with ML techniques for recommendation engine models in healthcare sectors - Expertise in Feature Engineering, Selection, and Model Validation on Big Data - Familiarity with cloud technology, particularly AWS, and tools like Tableau and Power BI At Lilly, we are committed to promoting workplace diversity and providing equal opportunities for all individuals, including those with disabilities. If you require accommodation during the application process, please complete the accommodation request form on our website. Join us at Lilly and be part of a team dedicated to making a difference in the lives of people worldwide.,

As an LLVM Compiler Intern at NVIDIA, you will have the exciting opportunity to work within our GPU Software organization. Join our Compiler team, responsible for constructing and emitting high-performance GPU machine instructions for Graphics and Compute applications. This team consists of leading compiler engineering experts who drive cutting-edge performance and capabilities for NVIDIA's current and future parallel SIMT architectures. Your responsibilities will include understanding, modifying, and enhancing NVIDIA's proprietary GPU compiler and assembler, which are written in C++. You will design and implement new compiler passes and optimizations to deliver top-notch, reliable, and maintainable compiler tools. Collaborate with global compiler, hardware, and application teams to drive enhancements and address challenges. Be an integral part of a team that focuses on deep-learning compiler technology, covering architecture design and functional languages. To excel in this role, you should be pursuing a B.S. or higher degree in Computer Science/Engineering with excellent hands-on C++ programming skills. A strong background in software engineering principles is essential, emphasizing the development of robust and maintainable solutions for complex problems. Effective communication, documentation skills, and self-motivation are key attributes for success. For those looking to stand out, a Masters or PhD with compiler code generation experience is preferred. Additional qualifications include experience in CUDA, DirectX, OpenGL/Vulkan applications, proficiency in performance and compile time analysis tools, and exposure to various machine learning techniques. Join NVIDIA, a renowned AI computing company known for pioneering GPU technology that has revolutionized modern computer graphics and parallel computing. If you are a creative and autonomous individual, we invite you to be part of our innovative team and contribute to shaping the future of technology with us.,