9,323 Applied Research jobs in the United States

**Summary:**
At Reality Labs Research (RL Research), we have built a world class team of researchers and engineers, working together across a broad range of disciplines from machine perception and artificial intelligence to operating systems and hardware. The Surreal team at RL Research is seeking an exceptional researcher that can accelerate our mission to build a new class of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground to understand the physical world from egocentric devices.The scientist in this role will be self-driven, creative and have experience with coordinating across a multidisciplinary engineering team to bring a prototype from concept to realization. This person will take initiative and should be willing to execute consistently in an agile, fast-paced environment.
**Required Skills:**
Applied Research Scientist - Reality Labs Research Responsibilities:
1. Drive the team's goals and technical direction, tackling new and ambitious research challenges in always-on contextual AI
2. Build and execute on a long-term vision and strategy for egocentric machine perception algorithms that can inform and provide long- and short-term situational context for AI-enabled devices
3. Work with cross-functional teams to achieve impactful outcomes. This includes product managers, operations teams, data scientists, and product partner teams, and engineering teams
**Minimum Qualifications:**
Minimum Qualifications:
4. PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5. 4+ years of research and/or work experience in machine learning, computer vision, and generative AI
6. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops and conferences such as CVPR, ICCV, Neurips or similar
7. Experience working autonomously, handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact
8. Experience in Python and C/C++
9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
**Preferred Qualifications:**
Preferred Qualifications:
10. Experience in 2D/3D perception, including detection, segmentation and tracking.
11. Experience with building contextual AI applications, e.g. LLM and VLM.
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, the candidate will play a crucial role in developing a large-scale software library for physics simulations that will drive innovation in robotics and embodied AI applications.You will leverage your expertise in software engineering, computational mathematics, and physics simulations to design, develop, and optimize simulation tools that will enable the development of controls for embodied agents in the physical world. You'll work closely with a team of researchers and engineers to develop state-of-the-art simulators and are expected to operate across low-level high-performance software development as well as high-level architectural design.
**Required Skills:**
Applied Research Scientist - Physics Simulations & Controls Responsibilities:
1. Lead complex software system integration and development
2. Implement state-of-the-art algorithms for numerical linear algebra, PDEs, optimization/dynamic programming/RL
3. Collaborate with cross-functional teams to identify and prioritize project requirements
4. Develop and maintain high-quality, efficient, and scalable code
5. Participate in code reviews and contribute to the development of best practices
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Ph.D. in Computer Science, Computational Mathematics, Computational Mechanics, or relevant degree and 3+ years experience in large scale computational mathematics/physics software
8. 3+ years experience with developing high performance computing solutions in C++
9. 3+ years experience with parallel computing on CPU and GPUs
10. 3+ years experience with physics simulations
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with state-of-the-art simulation libraries
12. Experience with controls theory and training embodied agents in physical interactions
13. Experience with differentiable physics/PDE constrained optimization
14. Experience with dimensionality reduction and reduced order modeling
**Public Compensation:**
$147,000/year to $208,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

**Summary:**
Reality Labs at Meta is seeking Research Scientist Manager with experience in machine learning research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), developing novel machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech-recognition. We're looking for people who want to shape the future of this technology and explore this exciting new territory with us.
**Required Skills:**
Research Scientist Manager - ML Modeling & Applied Research Responsibilities:
1. Build cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression, etc.) to advance neuromotor interface capabilities
2. Collaborate with engineering and Human-Computer Interactions (HCI) teams to deploy models that leverage fundamental scientific knowledge into new technology and user experiences
3. Use quantitative research methods to define, iterate upon and advance key areas of our research agenda
4. Develop research-grade code for deployment in research prototypes. Work across organizational boundaries to solve our biggest problems
**Minimum Qualifications:**
Minimum Qualifications:
5. 8+ years of experience working autonomously to design, execute, interpret, and present ML research outcomes
6. 4+ years of experience as technical lead for a project of 4 or more individuals
7. 2+ years of direct management experience, managing Researchers or Engineers
8. Experience in the analysis and modeling of high dimensional time series, such as neural signals, multi-channel audio recordings, multi-modal/multi-sensor signals, robotic sensory signals, financial time series, video, or other sensor modalities
9. Experience bringing machine learning-based products from research to production
10. Experience with interdisciplinary and/or cross-functional collaboration
11. Experience with large scale cluster computing for machine learning modeling
12. Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
13. Experience in software engineering in industry
14. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
15. PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields
**Preferred Qualifications:**
Preferred Qualifications:
16. Experience with real-time signal processing and/or human-computer interaction.
17. Proficiency with quantitative methods (mathematics, statistics) and experience learning new technical knowledge and skills rapidly.
18. Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas).
19. Experience with scientific communication tools (Jupyter, Matplotlib).
**Public Compensation:**
$177,000/year to $251,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.
Partnering closely with the **Head of the AI Platform Team** , this role will champion the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate will manage a high-performing team of AI experts, oversee the end-to-end delivery of AI solutions, and collaborate with engineering, product, and operations to ensure measurable business impact.
The person in this role is expected to be in the office at least 2 days a week and potentially more based on business requirements.
**Essential Duties and Responsibilities:**
**Strategic Leadership -**
+ Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
+ Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
+ Establish best practices for model development, deployment, monitoring, and continuous improvement.
+ Grow technology partnerships with key AI technology providers
**AI Solution Delivery -**
+ Work with engineering to deliver of AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
+ Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
+ Ensure model safety, ethical use, and compliance with applicable regulations and policies.
+ Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate new AI-first product development.
**Team Development & Collaboration -**
+ Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high-impact solutions.
+ Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
+ Promote a culture of experimentation, rapid prototyping, and measurable results.
**Operational Excellence -**
+ Implement robust processes for quality assurance, model governance, and performance monitoring.
+ Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
+ Lead cost management initiatives to optimize AI infrastructure and usage at scale.
+ Ensure compliance with AI Governance
**Required Qualifications:**
+ 10+ years of experience in AI, ML, or data science, with at least 5 years in a leadership role.
+ Expertise in **Generative AI** , including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
+ Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
+ Strong understanding of **production software engineering best practices** , CI/CD, testing, observability, error handling, and security.
+ Experience with **cloud-based AI services** (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
+ Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
+ Exceptional communication and cross-functional collaboration skills.
**Preferred Qualifications:**
+ Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
+ Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
+ Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field.
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process._
**Compensation:**
Target salary range CA, CT, CO, HI, NY, WA: $203,900 - $262,150
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.
Partnering closely with the **Head of the AI Platform Team** , this role will champion the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate will manage a high-performing team of AI experts, oversee the end-to-end delivery of AI solutions, and collaborate with engineering, product, and operations to ensure measurable business impact.
The person in this role is expected to be in the office at least 2 days a week and potentially more based on business requirements.
**Essential Duties and Responsibilities:**
**Strategic Leadership -**
+ Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
+ Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
+ Establish best practices for model development, deployment, monitoring, and continuous improvement.
+ Grow technology partnerships with key AI technology providers
**AI Solution Delivery -**
+ Work with engineering to deliver of AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
+ Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
+ Ensure model safety, ethical use, and compliance with applicable regulations and policies.
+ Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate new AI-first product development.
**Team Development & Collaboration -**
+ Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high-impact solutions.
+ Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
+ Promote a culture of experimentation, rapid prototyping, and measurable results.
**Operational Excellence -**
+ Implement robust processes for quality assurance, model governance, and performance monitoring.
+ Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
+ Lead cost management initiatives to optimize AI infrastructure and usage at scale.
+ Ensure compliance with AI Governance
**Required Qualifications:**
+ 10+ years of experience in AI, ML, or data science, with at least 5 years in a leadership role.
+ Expertise in **Generative AI** , including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
+ Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
+ Strong understanding of **production software engineering best practices** , CI/CD, testing, observability, error handling, and security.
+ Experience with **cloud-based AI services** (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
+ Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
+ Exceptional communication and cross-functional collaboration skills.
**Preferred Qualifications:**
+ Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
+ Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
+ Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field.
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process._
**Compensation:**
Target salary range CA, CT, CO, HI, NY, WA: $203,900 - $262,150
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
**Working at Abbott**
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:
+ Career development with an international company where you can grow the career you dream of.
+ Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
+ An excellent retirement savings plan with high employer contribution.
+ Tuition reimbursement, the Freedom 2 Save ( student debt program and FreeU ( education benefit - an affordable and convenient path to getting a bachelor's degree.
+ A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
+ A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
**The Opportunity**
**The Senior AI/ML Engineer, Applied Research position works out of our Sunnyvale, CA or Sylmar, CA location in the Cardiac Rhythm Management Division.** As a global leader in Cardiac Rhythm Technologies, we focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats.
**What You'll Work On**
Lead the development of innovative ML-enabled features on a novel device and cloud platform. The candidate will be responsible for big data engineering, data wrangling, and data analysis in the Cloud. The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of solutions for the business. The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems.
As a senior member of the Applied Research team, you will be building data analytics capabilities to uncover customer, product and operational insights. Candidate should be able to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a malleable technology-driven environment utilizing tools such as Databricks, Azure, Spark etc.
The candidate should have a passion for data science and software engineering in a biomedical space. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.
Additionally, the digital health applied research candidate identifies, plans, recommends, and completes technical programs leading to innovative applications of new and existing products and technologies having major division or company-wide importance. Designs and carries out research projects and investigations using available data. Disseminates findings and product implications to management, engineers and, where appropriate, to the scientific community through publications, conferences, and reports. Investigates patent implications of research outcomes and coordinates applications with intellectual property attorneys.
**Required Qualifications**
+ Bachelor's degree in Computer Science, Data Science, Engineering, or similar with an emphasis in artificial intelligence and machine learning.
+ Minimum 5 years of relevant industry experience, in Software Engineering, Data Engineering or Big Data
+ Software development experience, ideally in Python, PySpark, Java, C#
+ Knowledge of or direct experience with Databricks and/or Spark and with Azure
+ Practical Knowledge of Linux
+ A willingness to learn new software development languages to meet goals and objectives.
+ Self-motivated with ability to collaborate across multiple disciplines (e.g., electrical, software, systems) to meet program milestones.
+ Basic experience in exploratory data analysis and visualization.
+ Experience in preparation and manipulation of training and validation datasets, including data structuring, normalization, augmentation, and synthetic methods.
+ Understanding of conventional statistical methods and techniques.
+ Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
+ Knowledge of data cleaning, wrangling, visualization and reporting
+ Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience
+ Familiarity of databases, BI applications, data quality and performance tuning
**PREFERRED QUALIFICATIONS**
+ Database creation/usage experience to manage, store and query multimodal datasets (e.g,. PostgreSQL, Mongo, etc.)
+ Proficiency in common AI/ML programming languages (at least one of): Python (preferred), R, Julia, or MATLAB.
+ Proficiency with common libraries used for numeric manipulation and machine learning such as Numpy, Pandas, Scikit-Learn, Tensorflow, Keras, etc.
+ Master's or PhD with an emphasis on multimodal machine learning.
+ Hands-on experience with a variety of supervised, semi-supervised and unsupervised machine learning methods.
+ Experience in transferring trained models to a production cloud environment, e.g., API implementation, containerization.
+ Familiarity with ISO 13485, 14971, etc.
+ Experience in compiling and optimization techniques (e.g., quantization, pruning, compression) to deploy models on edge devices
+ Experience in model life cycle management within an distributed HPC environment such as Azure Databricks.
+ Experienced in the sequential phases of the medical device development from early feasibility and VOC through development, test, commercial launch, and post-market support.
+ Experience in first-in-human and pivotal clinical trials.
+ Experience and/or familiarity with cardiac anatomy and interventional cardiology.
+ Excellent written, verbal and listening communication skills
+ Comfortable working asynchronously with a distributed team
+ Ability to work within a team and as an individual contributor in a fast-paced, changing environment.
+ Ability to work in a highly matrixed and geographically diverse business environment.
+ Ability to leverage and/or engage others to accomplish projects.
+ Strong analytical, problem solving skills.
+ Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.
+ Multitasks, prioritizes and meets deadlines in timely manner.
+ Strong organizational and follow-up skills, as well as attention to detail.
Apply Now ( more about our health and wellness benefits, which provide the security to help you and your family live full lives:** ( your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at , on Facebook at and on Twitter @AbbottNews.
The base pay for this position is $98,000.00 - $196,000.00. In specific locations, the pay range may vary from the range posted.
An Equal Opportunity Employer
Abbot welcomes and encourages diversity in our workforce.
We provide reasonable accommodation to qualified individuals with disabilities.
To request accommodation, please call or email

The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.
Partnering closely with the **Head of the AI Platform Team** , this role will champion the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate will manage a high-performing team of AI experts, oversee the end-to-end delivery of AI solutions, and collaborate with engineering, product, and operations to ensure measurable business impact.
The person in this role is expected to be in the office at least 2 days a week and potentially more based on business requirements.
**Essential Duties and Responsibilities:**
**Strategic Leadership -**
+ Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
+ Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
+ Establish best practices for model development, deployment, monitoring, and continuous improvement.
+ Grow technology partnerships with key AI technology providers
**AI Solution Delivery -**
+ Work with engineering to deliver of AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
+ Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
+ Ensure model safety, ethical use, and compliance with applicable regulations and policies.
+ Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate new AI-first product development.
**Team Development & Collaboration -**
+ Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high-impact solutions.
+ Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
+ Promote a culture of experimentation, rapid prototyping, and measurable results.
**Operational Excellence -**
+ Implement robust processes for quality assurance, model governance, and performance monitoring.
+ Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
+ Lead cost management initiatives to optimize AI infrastructure and usage at scale.
+ Ensure compliance with AI Governance
**Required Qualifications:**
+ 10+ years of experience in AI, ML, or data science, with at least 5 years in a leadership role.
+ Expertise in **Generative AI** , including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
+ Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
+ Strong understanding of **production software engineering best practices** , CI/CD, testing, observability, error handling, and security.
+ Experience with **cloud-based AI services** (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
+ Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
+ Exceptional communication and cross-functional collaboration skills.
**Preferred Qualifications:**
+ Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
+ Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
+ Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field.
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process._
**Compensation:**
Target salary range CA, CT, CO, HI, NY, WA: $203,900 - $262,150
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.
Partnering closely with the **Head of the AI Platform Team** , this role will champion the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate will manage a high-performing team of AI experts, oversee the end-to-end delivery of AI solutions, and collaborate with engineering, product, and operations to ensure measurable business impact.
The person in this role is expected to be in the office at least 2 days a week and potentially more based on business requirements.
**Essential Duties and Responsibilities:**
**Strategic Leadership -**
+ Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
+ Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
+ Establish best practices for model development, deployment, monitoring, and continuous improvement.
+ Grow technology partnerships with key AI technology providers
**AI Solution Delivery -**
+ Work with engineering to deliver of AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
+ Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
+ Ensure model safety, ethical use, and compliance with applicable regulations and policies.
+ Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate new AI-first product development.
**Team Development & Collaboration -**
+ Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high-impact solutions.
+ Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
+ Promote a culture of experimentation, rapid prototyping, and measurable results.
**Operational Excellence -**
+ Implement robust processes for quality assurance, model governance, and performance monitoring.
+ Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
+ Lead cost management initiatives to optimize AI infrastructure and usage at scale.
+ Ensure compliance with AI Governance
**Required Qualifications:**
+ 10+ years of experience in AI, ML, or data science, with at least 5 years in a leadership role.
+ Expertise in **Generative AI** , including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
+ Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
+ Strong understanding of **production software engineering best practices** , CI/CD, testing, observability, error handling, and security.
+ Experience with **cloud-based AI services** (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
+ Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
+ Exceptional communication and cross-functional collaboration skills.
**Preferred Qualifications:**
+ Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
+ Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
+ Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field.
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process._
**Compensation:**
Target salary range CA, CT, CO, HI, NY, WA: $203,900 - $262,150
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

The **VP of AI Engineering and Applied Research** will support the strategy, development, and delivery of advanced Generative AI capabilities across our product portfolio. This leader will have a critical role driving innovation in AI-powered customer-facing products, ensuring that solutions are production-ready, scalable, cost-optimized, and aligned with the highest standards for quality, safety, and performance.
Partnering closely with the **Head of the AI Platform Team** , this role will champion the integration of AI capabilities into our platform, enabling seamless adoption across all products. The successful candidate will manage a high-performing team of AI experts, oversee the end-to-end delivery of AI solutions, and collaborate with engineering, product, and operations to ensure measurable business impact.
The person in this role is expected to be in the office at least 2 days a week and potentially more based on business requirements.
**Essential Duties and Responsibilities:**
**Strategic Leadership -**
+ Support and execute the AI strategy, with a focus on Generative AI solutions for customer-facing products.
+ Partner with the AI Platform team to embed reusable, scalable AI capabilities into the core platform.
+ Establish best practices for model development, deployment, monitoring, and continuous improvement.
+ Grow technology partnerships with key AI technology providers
**AI Solution Delivery -**
+ Work with engineering to deliver of AI solutions from concept to production, ensuring scalability, reliability, and operational readiness.
+ Lead advanced tuning, evaluation, and cost optimization strategies for large-scale AI models.
+ Ensure model safety, ethical use, and compliance with applicable regulations and policies.
+ Support fast-paced innovation initiatives in small collaborative teams with product owners, engineering, product owners, UX and subject matter experts, to bring a working testable solution to customers partners to accelerate new AI-first product development.
**Team Development & Collaboration -**
+ Build, mentor, and retain a team of AI scientists, engineers, and specialists capable of delivering high-impact solutions.
+ Foster strong collaboration with engineering, product management, design, and operations teams to ensure AI initiatives meet business and customer needs.
+ Promote a culture of experimentation, rapid prototyping, and measurable results.
**Operational Excellence -**
+ Implement robust processes for quality assurance, model governance, and performance monitoring.
+ Drive adoption of hyper-scaler AI services and cloud-native solutions to accelerate time-to-market.
+ Lead cost management initiatives to optimize AI infrastructure and usage at scale.
+ Ensure compliance with AI Governance
**Required Qualifications:**
+ 10+ years of experience in AI, ML, or data science, with at least 5 years in a leadership role.
+ Expertise in **Generative AI** , including LLMs, prompt engineering, RAG, fine-tuning, and evaluation methodologies.
+ Proven track record of delivering production-grade AI solutions in customer-facing products especially using LLMs.
+ Strong understanding of **production software engineering best practices** , CI/CD, testing, observability, error handling, and security.
+ Experience with **cloud-based AI services** (AWS, Azure, GCP) and hyper-scaler AI platforms (e.g., Azure OpenAI, Azure AI Services, AWS Bedrock, Google Vertex AI).
+ Demonstrated ability to optimize AI model performance and costs for large-scale deployments especially LLMs.
+ Exceptional communication and cross-functional collaboration skills.
**Preferred Qualifications:**
+ Experience working in regulated industries or managing sensitive data (e.g. PII, PHI).
+ Knowledge of AI governance, responsible AI frameworks, and ethical AI practices.
+ Advanced degree (MS/PhD) in Computer Science, AI/ML, engineering or related field.
_Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process._
**Compensation:**
Target salary range CA, CT, CO, HI, NY, WA: $203,900 - $262,150
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.