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NVIDIA is seeking a Principle Machine Learning Engineer to lead our Content Safety & ML Fairness efforts for LLMs across all of our Research and Production Engineering teams, and to coordinate with Legal, Policy, Ethics and Security. Content Safety & ML Fairness are essential to the responsible development and deploying Large Language Models (LLMs). NVIDIA is in a unique position: we are developing AI-based products across multiple domains, and we collaborate with many exciting AI companies as partners and customers.
In this role, you’ll work with the teams who are developing Large Language Models (LLMs) aka Generative AI for text. Our LLMs are a growing area of AI products including models and services, and we are committed to ensuring that they are used safely and responsibly. This key position will ensure the highest content safety possible by reducing exposure to inappropriate material, preventing bias and discrimination which is essential to protect both individual rights and to achieve the best quality of results including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all.
What you'll be doing:
Craft, orchestrate and realize the Content Safety & ML Fairness vision, mission, strategy, work and delivery across multi-functional teams.
Conduct technical review of existing methods and emerging approaches from academia and industry, and be our expert on what we can purchase or open source vs building. Including staying up-to-date with the latest research and advancements in Content Safety and ML Fairness.
Research and implement innovative techniques for bias detection and mitigation in LLMs and systems using LLMs like RAGs.
Follow, connect and guide the work across Foundation, Alignment and PEFT modeling and evaluation work, as well as pre-and-post Inference-time guardrails, dataset assessment, and model evaluation tools. Define one technical roadmap for these teams. Ensure the problems are solved in the most appropriate place in a sophisticated landscape of models derived from other models.
Define the datasets and modeling techniques, classification and evaluation strategy for designing, training and evaluating models and end-to-end systems for Content Safety and ML Fairness. Including a mix of LLM, Supervised learning, and other approaches. Ensure high quality execution, review, and (where applicable) threshold of models.
Define and supervise key metrics for responsible LLM behavior and usage.
Follow the best MLOps practices of automation, monitoring, scale, safety, fairness.
Develop a unified MLOps methodology that ML teams can follow to be highly productive and deliver safe and fair AI products.
Contribute to the MLOps platform and develop safety and fairness tools to help ML teams be more effective.
Champion standard methodologies for responsible LLM development and deployment across the company and our partners.
Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges.
What we need to see:
You have a Master’s or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience.
Strong understanding of machine learning principles and algorithms.
8+ years of Work Experience in developing and deploying machine learning models in production.
Collaborated with multiple teams to bring research into enterprise, developer or consumer products.
Ability to lead technical projects from problem to solution.
Experience with two or more of the following broader areas for 5+ years: ML Fairness, Content Safety, Deliberative Misinformation, Robustness, Security, or related areas.
Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
Background with ML Fairness/De-biasing: de-biasing of models at training, de-biasing of results at inference, fairness metrics and bias detection techniques.
Experience with explainable AI (XAI) techniques, and large datasets.
Ways to stand out from the crowd:
Have more than the minimum experience required within the Content Safety and ML Fairness areas listed above
Experience with Robustness including Hallucinations, Digressions, Generative Misinformation.
Background with GenAI Security including Prompt Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
Experience with legal and regulatory compliance.
Experience with leadership in Content Safety and/or ML Fairness across large organizations with multiple teams/groups, with a consistent record of extensive indirect influence.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest pioneering fields: Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you!
The base salary range is 272,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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NVIDIA’s deep learning and HPC platforms have made a huge impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate and creative people to help us on building a AI framework that will solve the toughest and most relevant problems of humanity and problems that are at the groundbreaking of science & engineering: weather/climate challenges, product design, digital twins, molecular dynamics, novel materials, accelerated drug development, etc.
What you'll be doing:
Work with some of the brightest minds in a leading AI company to develop a leading machine learning framework, NVIDIA Modulus, for our academic and industrial partners to construct digital twins and machine learning simulation surrogates for real world science and engineering problems
Work with internal project teams to validate applications built using the framework on Nvidia’s products
Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new insights to develop and enhance NVIDIA's deep learning technologies with focus on simulations
What we need to see:
BS or MS degree (PhD preferred) in computer science, mathematics, computational science/engineering, or related technical field or equivalent experience.
10+ years of relevant experience.
Strong Python programming skills. Familiarity with containers, numeric libraries, modular software design
Good knowledge of state-of-the-art DNN architectures and machine learning techniques and algorithms (graph networks, diffusion models, reinforcement learning etc.) with experience in developing or using major deep learning frameworks (PyTorch, Tensorflow, JAX etc.)
Experience with solving and using machine learning for real world problems involving scientific/engineering simulations (domains/applications - industrial, life sciences, high energy physics, earth sciences – seismic, weather & climate modeling; physics types - CFD, structural, electromagnetics, optics, acoustics etc.) and/or scientific visualization is a big plus
Strong analytical skills with bias for action. Good time-management and organization skills to thrive in a fast paced, dynamic environment
Solid written and oral communications skills. Good teamwork and interpersonal skills
Ways to stand out from the crowd:
Work with multi-node systems with data-parallel and model parallel programming experience. Experience with CUDA
Usage of nonlinear simulation tools and techniques, usage of major simulation codes (opensource and/or commercial)
Published papers in the field of AI in scientific computing
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive.
As a Nelnet company, the perks at NBS go beyond our benefits package. You’re part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work.
The Senior Machine Learning Engineer actively contributes to the technical design, development, and deployment of machine learning applications, leveraging both established and emerging technologies. Primary tasks include designing machine learning architectures, coding and reviewing models and applications, and ensuring high availability and performance of our machine learning solutions.
JOB RESPONSIBILITIES:
1. Partner with Product and Data Solutions teams to design, build, and deliver machine learning models and components to address business challenges.
2. Address complex problems by writing and testing application code, developing and validating machine learning models, and automating tests and deployment.
3. Retrain, maintain, and monitor models in production.
4. Utilize existing or build cloud-based architectures and technologies to deliver optimized machine learning models at scale.
5. Implement code management practices to minimize vulnerabilities, ensure models are well-governed from a risk perspective, and adhere to machine learning best practices in Responsible and Explainable AI.
6. Educate and communicate complex AI concepts and solutions to technical and non-technical audiences.
EDUCATION:
Bachelor’s in Computer Science, Machine Learning, Artificial Intelligence, or a related field
EXPERIENCE:
1. Minimum of 3 years of experience in machine learning engineering or related roles.
2. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
3. Experience in deploying machine learning models in production environments.
COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:
1. Passion for learning new AI skills.
2. Drive to experiment and innovate, as well as the ability to stay updated on the latest developments in the AI field.
3. Proficiency in rapid Prototyping tools and experimentation aids.
4. Excellent communication and interpersonal skills to build relationships across the organization.
5. Initiative to drive positive outcomes and set high standards.
6. Strong critical thinking, analytical and quantitative problem-solving ability.
7. Ability to adapt quickly to change and thrive in an ever-evolving environment.
8. Strong organization, time management and coordination skills to drive projects to completion.
9. Proficiency in programming languages and in the use of machine learning frameworks (TensorFlow, PyTorch or scikit-learn).
10. Strong expertise in deep learning frameworks and architectures.
11. Excellent skills in data manipulation, preprocessing, and feature engineering.
12. Strong knowledge of data management processes for large-scale datasets.
13. Ability to lead end-to-end development of new products.
Salary: $125,000 - $130,000
Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK.
Nelnet is an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance.
Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net.
Nelnet is a Drug Free and Tobacco Free Workplace.
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We are now looking for a Senior Machine Learning Engineer (LLM)! NVIDIA is seeking machine learning engineers that make LLMs faster and slimmer while minimizing training friction. You can (1) distill LLM research literature into its core, (2) run experiments at scale, (3) generate insights to support or refute the efficacy of a technique, and (4) generate reproducible training recipes.
Our mission is to create new value for NVIDIA's largest customers. We support this mission by building robust, reproducible, and friction-free training recipes that make compression-aware training and inference seamless. We own the top of the stack, and our largest customers directly interact with the artifacts that you will build.
What you'll be doing:
Keep abreast on research in LLM compression algorithms
Design, implement, and evaluate LLM compression algorithms that minimize regressions, reduce training friction, and improve performance
Run ablation experiments to understand the Pareto-frontier
Build robust, reproducible, and portable training recipes
Work with production SW teams to realize recipes in production workflows
What we need to see:
M.S. degree or equivalent experience in Computer Science or a related field, and/or proven track record. PhD preferred
6+ years of relevant work experience
Strong programming skills and ability to debug ML systems
Experience with PyTorch
Proficient in the math of machine learning
Strong written and oral communication skills
Ways to stand out from the crowd:
Background with mixed-precision training flows
Experience working in Efficient LLMs
Experience with performance optimization of training and inference systems
GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and collaborative? Do you love the challenge of defining and leading an industry? If so, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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HOW MIGHT YOU DEFY IMAGINATION?
You’ve worked hard to become the professional you are today and are now ready to take the next step in your career. How will you put your skills, experience and passion to work toward your goals? At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies, reaching over 10 million patients worldwide. Come do your best work alongside other innovative, driven professionals in this meaningful role.
Senior Machine Learning Engineer
What you will do
Amgen is on a mission to unlock the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing, and delivering innovative human therapeutics. The Amgen R&D organization supports this mission by discovering, developing, and delivering transformative medicines that address the leading causes of death and disability. The work we do in R&D is guided by three strategic imperatives: Make focused investment in innovative research platforms; Innovate in Clinical Development; and Address access and use at all stages of drug development. The R&D AI Strategy & Execution (RAISE) team was recently established to accelerate R&D by harnessing AI and emerging digital technologies. The Data Science & Engineering (DS&E) team in RAISE is multidisciplinary group tasked with developing and deploying AI capabilities to accelerate execution of R&D strategic imperatives, which span discovery, development, patient safety, regulatory affairs, and other medical affairs.
Additional capabilities in mechanism-based mathematical modeling, statistical modeling or causal modeling would receive special consideration. Furthermore, domain knowledge in one of biopharmaceutical R&D disciplines is strongly desired.
We are seeking a Senior Machine Learning Engineer to join DS&E. Candidates should possess robust knowledge and hands-on experience in end-to-end ML modeling, including design, development, deployment, monitoring, and maintenance, plus proficiency with cloud computing infrastructure, AWS in particular. In addition to general supervised and unsupervised ML, subareas of interest include natural language processing, image processing, audio processing, and generative AI.
Let’s do this. Let’s change the world. In this vital role you will:
Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms, fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems.
Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment.
Facilitate model deployment to production and establish MLOps practices, including monitoring and maintenance of ML models.
Be a technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.
Help develop/improve and uphold high engineering standards and best ML practices in the team.
Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.
Doctorate degree OR
Master’s degree and 3+ years of experience in MLOps or similar; OR
Bachelor’s degree and 5+ years of experience in MLOps or similar; OR
Associate degree and 10+ years of experience in MLOps or similar; OR
High school diploma/GED and 12+ years of experience in MLOps or similar.
Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework.
Experience with NLP, image processing, and/or audio processing.
Outstanding analytical and problem-solving skills; ability to learn quickly.
Experience with data modeling; hands-on experience with SQL.
Experience with software DevOps CI/CD tools, GitLab.
Experience in analyzing time-series data for forecasting and trend analysis.
Experience with docker container, Kubernetes container orchestration.
Experience with Apache Airflow and Apache Spark; Spark performance turning.
Experience with Pharmaceutical industry, commercial operations.
Excellent communication skills and ability to work in a team
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
Amgen offers a Total Rewards Plan comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including:
Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models, including remote work arrangements, where possible
for a career that defies imagination
Objects in your future are closer than they appear. Join us.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
.Salary Range
152,914.00 USD - 191,272.00 USDOfficial account of Jobstore.
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Job Description
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CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we’re building a brand on the cusp of defining the industry. We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company.
Learn more about Homes.com
Machine Learning Engineers at CoStar play an important role in this process, by mining data from sources including billions of pageviews, millions of images, vast geographic data, deep property content, and much more. We enhance our extensive property database, personalize our customers’ experience on our product websites, and create innovative datasets and forecasts that are the industry standards in our market leading products.
We are searching for a Senior Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. We are growing rapidly to help invent the future of Real Estate, with Data Science playing a critical role in that growth.
This position is located in San Diego, CA (UTC Area), and offers the following hybrid schedule option:
- 3 days onsite, 2 days remote
Collaborate on the continued improvement of CoStar’s cloud-based machine learning environment.
Design, build, test and deploy scalable, reusable, and maintainable models that handle large amounts of data.
Collaborate with other engineers, product owners, and leadership to create ML solutions that solve practical problems and improve our customer’s experience.
Gain an understanding of the CoStar business and how ML can improve things.
Bachelor’s Degree required from an accredited, not for profit university or college. MSc or PhD is a plus.
A track record of commitment to prior employers
5+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role
5+ years of programming experience with modern languages such as Python, C#, Java, or Scala.
Work experience with Image Classification, Object Detection, NER, or Recommendation Systems.
Experience building data pipelines to collect data, train and test models, measure model performance, run inference on large datasets, and output results.
Experience with ML libraries such as TensorFlow, Keras, and Scikit-learn.
Experience with data manipulation and visualization libraries such as pandas, matplotlib, seaborn, or Plotly.
Strong math and analytical skills.
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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
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What You Will Do
Define and extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes
Document, and test complex data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages
Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems using scalable, efficient machine learning operations pipelines
Write and refine code to ensure performance and reliability of data extraction and processing
Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests
Develop advanced SQL queries to extract data for analysis and model construction
Own delivery of large, complex data and ML engineering projects
Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists
Ensure performance and reliability of data processes
Document and test data processes including performance of through data validation and verification
Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products
Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning
Analyze and evaluate databases in order to identify and recommend improvements and optimization
Design advanced eye-catching visualizations to convey information to users
What You Bring
Bachelor’s degree and 5 years of experience with Oracle, Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language.
Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models
In lieu of degree, 7 years of the experience as stated above.
Hiring Preferences
Experience with Python analytics packages such as scikit-learn, NumPy, Pandas etc.
Exposure to clinical, healthcare, or insurance data
Experience working in AWS and/or using Linux based systems
Experience working with Amazon SageMaker
Expert in the deployment of ML models on big data platforms
Demonstrated experience performing data validation on prepared data sets
Experience in software engineering practices and software development methodologies
Ability to communicate clearly and effectively both orally and in writing
Ability to work independently
Reliable task estimation skills
Excellent quantitative, problem solving and analytic skills
Ability to document data discovery findings, feature selection process, model determination process, and interpretation of insights
Ability to collaborate effectively with business stakeholders, performance consultants, data scientists, and other data engineers
Ability to quickly become expert in operational processes and data for various lines of business
Ability to troubleshoot and document findings and recommendations
Comfortable briefing internal stakeholders on findings
Proactively communicate risks and problems to leadership
Ability to keep up with a rapidly evolving technology space
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