5,356 Applied Research jobs in the United States

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Applied Research Scientist Responsibilities:
1. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta platforms.
2. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
3. Utilize technical research background, train new ranking models, and run experiments.
4. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
5. Use machine learning, statistics, or other data techniques to build algorithms.
6. Suggest, collect, and synthesize system requirements form stakeholders, and create effective feature roadmaps.
7. Analyze and resolve computer challenges from a system-engineering standpoint.
**Minimum Qualifications:**
Minimum Qualifications:
8. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Statistics, Data Science, Mathematics, or a related field and 3 years of work experience in the job offered or in a related occupation
9. Requires 36 months of experience in the following:
10. 1. Building models and developing algorithms for machine learning, statistics, mathematical programming, and simulation
11. 2. Developing and supporting models in production
12. 3. Modeling and analyzing up to petabytes of data using R or Python
13. 4. Initiating and driving applied research projects to completion with minimal guidance
14. 5. Communicating applied research work to technical and non-technical audience
**Public Compensation:**
$214,532/year to $240,240/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

About Happyrobot

HappyRobot is a platform to build and deploy AI workers that automate communication.

Our AI workers connect to any system or data source to handle phone calls, email, messages.

We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.

We raised a Series A round from a16z and YC and we're growing very fast .

We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great.

About the Role

We're looking for an AI Applied Research Lead to drive innovation and lead the development of cutting-edge voice AI systems. You'll work at the intersection of research and production, shaping the future of our AI capabilities while ensuring business impact.

What You'll Do

• Lead applied research initiatives to improve NLU, speech synthesis, and voice interaction models
• Evaluate and fine-tune LLMs, ASR, and TTS systems for high-performance production use
• Manage and mentor a team of applied researchers and ML engineers
• Collaborate closely with engineering to bring models into real-time, production-grade systems
• Identify research trends and emerging technologies to inform product roadmap
• Drive experimentation frameworks, performance evaluation, and data strategy
• Foster a culture of innovation, speed, and scientific rigor

What We're Looking For

• PhD or MS in Machine Learning, NLP, Speech Processing, or a related field
• 5+ years of experience in applied research roles, including 2+ years managing or mentoring technical teams
• Deep knowledge of transformer-based architectures and experience with LLMs
• Strong programming skills in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)
• Demonstrated ability to lead projects from research to production
• Excellent communication skills and a collaborative leadership style

Why join us?

• Opportunity to work at a high-growth AI startup , backed by top investors.
• Fast Growth - Backed by a16z and YC , on track for double-digit ARR .
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders

Our Operating Principles

Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting - if something needs fixing, we own it and make it better. This means stepping up, even when it's not "your job." If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it - we lead with accountability and expect the same from those around us.

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for "just fine." We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call - we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build - even when nobody's watching.

We are "majos"
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. "Majo" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon - not a sprint with no strategy.

Talent Density and Meritocracy
Hire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density - every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players - that's how we win.

First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible.

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through subject to the GDPR.

For more information, visit

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

Hedra is a pioneering generative media company backed by top investors at Index, A16Z, and Abstract Ventures. We're building Hedra Studio, a multimodal creation platform capable of control, emotion, and creative intelligence.

At the core of Hedra Studio is our Character-3 foundation model, the first omnimodal model in production. Character-3 jointly reasons across image, text, and audio for more intelligent video generation it's the next evolution of AI-driven content creation.

Note : At Hedra, we're a team of hard-working, passionate individuals seeking to fundamentally change content and build a generational company together. You should have start-up experience and be a self-starter that is driven to build impactful products that change the status quo. You must be willing to work in-person in either NYC or SF.

Overview :

We are looking for an Applied Research Scientist with a specialization in model fine-tuning to join our team. This role involves taking our pre-trained 3DVAE and video diffusion models and adapting them to specific tasks or datasets to achieve optimal performance. The ideal candidate will have a deep understanding of transfer learning and fine-tuning techniques in the context of generative models.

Responsibilities :

Fine-tune pre-trained 3DVAE and video diffusion models for specific applications, such as generating videos for particular AI agent tasks, ensuring adaptability to new datasets.

Develop and implement strategies for efficient model adaptation, such as data augmentation or transfer learning, to optimize performance.

Evaluate and compare the performance of different fine-tuned models, using metrics relevant to video generation.

Collaborate with the research team to understand the requirements and objectives of each fine-tuning task, ensuring alignment with business needs.

Document and communicate findings to the team and stakeholders, facilitating knowledge sharing and decision-making.

Qualifications :

PhD or Master's degree in Computer Science, Machine Learning, or a related field, with a focus on model adaptation.

Strong background in deep learning, with a focus on generative models, and experience with model fine-tuning and transfer learning techniques, crucial for adapting models to new tasks.

Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, essential for implementation.

Excellent problem-solving and analytical skills, given the need to evaluate and iterate on model performance.

Good communication and teamwork skills, as collaboration is key in a startup environment.

This role is focused on applying and refining existing models rather than developing new ones, ensuring practical deployment.

Benefits :

Competitive compensation and equity

401k (no match)

Healthcare (Silver PPO Medical, Vision, Dental)

Lunch and snacks at the office

We encourage you to apply even if you don't fully meet all the listed requirements; we value potential and diverse perspectives, and your unique skills could be a great asset to our team.

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Applied Scientist San Francisco, CA, US

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**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 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

Our vision is to build the next-generation platform for fast and easy creation of audio and video content. In November 2022, we took a huge leap forward by launching Storyboard , the video editing foundation that were excited to build atop AI capabilities like Overdub , Studio Sound , and other generative AI capabilities in the near future. We're used by some of the world's top podcasters and influencers as well as businesses such as BBC, ESPN, Hubspot, Shopify and Washington Post for communicating via video. We've raised $100M from some of the world's best investors like Andreessen Horowitz, OpenAI Startup fund, Redpoint Ventures and Spark Capital.

We need great people to help us build these cutting-edge technologies and guide its development. In particular, were always looking to hire smart applied research scientists. You will join a team of around a dozen researchers specialized in generative models and deep learning.

This role can be remote in the US or based in the SF Bay Area.

Responsibilities

• Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments.
• Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks.
• Contribute to designing the research roadmap of the company
• Train and mentor other members of the team.
• Own the research function of specific product features.

As a core member of our research team, you'll play an integral role in challenges such as:

• Using deep learning (including but not limited to NLP, speech processing, computer vision, etc.) to solve problems for media creation and editing.
• Creating realistic voice doubles using only a few minutes of audio.
• Creating tools to synthesize photo-realistic videos that match our Overdub (personalized speech synthesis) feature.
• Designing and developing new algorithms for media synthesis, anomaly detection, speech recognition, speech enhancement, filler word detection, audio and video tagging etc.
• Coming up with new research directions to improve our product

Requirements

• Proven experience in designing and implementing deep learning algorithms.
• PhD or Masters degree specialized in Deep Learning or equivalent experience.
• Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects.
• Good programming skills and experience with deep learning frameworks.
• Ability to generate more ideas than you can implement.
• Implementing a given idea is easy and efficient. Once the experiment set up is established, youre able to implement many ideas per day, evaluate them, and organize your time to be productive and efficient.
• You wish you had more GPUs to run all the experiments that you wanted!
• You know Pytorch/Tensorflow inside-out
• We do not require domain-specific knowledge in computer vision or speech-processing

At least one of the following must be true for the applicant to be considered:

• Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
• Played a key role in shipping a feature in production which uses deep learning as a key component.

The base salary range for this role is $90,000- 300,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.

Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.

Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adultwe don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.

Descript is an equal opportunity workplacewe are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

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**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

A growth-stage investment of ours is looking to hire a Sr. Research Engineer with a strong background in NLP and Deep Learning (LLM exp strongly desired).

Qualifications :

• 5+ years industry experience in NLP with a strong academic foundation (PhD in Computer Science or related field preferred)
• Good coding skills and hands-on exp with modern ML frameworks
• Familiarity with large-scale clusters and / or parallel processing environments is a plus
• Prior startup experience also a plus

About Us :

Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here : https : / / greylock.com /

How We Work :

We are full-time, salaried employees of Greylock and provide free candidate referrals / introductions to our active investments. We will contact anyone who looks like a potential match requesting to schedule a call with you immediately.

Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Please note :

We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

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Software Engineering

Job Details

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Salesforce's Office of Ethical and Humane Use is hiring an Applied Responsible AI Research Scientist to play a pivotal role in guiding the responsible development of cutting-edge artificial intelligence products. Working together with the Responsible AI & Tech team and in close partnership with both Salesforce AI Research and Frontier AI teams, they will deliver guidance, guardrails, and features that ensure the next generation of AI is designed, developed, and delivered in alignment with Salesforce's ethical use and responsible AI principles.

The ideal candidate will have experience in artificial intelligence and specifically the field of responsible / ethical AI including Generative AI. They will work across teams to implement responsible AI processes including but not limited to bias assessments, accuracy measurements, harms modeling, privacy (memorization, unlearning), security, and AI model trust and safety.

Job Responsibilities

• Develop strategy, alongside Salesforce AI Research, engineering, data science, and product management to create, develop, and ship cutting-edge generative AI capabilities for Salesforce customers while mitigating ethical risks and capturing ethical opportunities.

• Identify potential negative consequences, then identify how those consequences might be mitigated and drive prioritization of those mitigations into a team's roadmap. Conversely, identify positive ethical impacts in a roadmap/specification/design and ways to amplify them in the product.

• Trust and safety, as well as CRM benchmarking against other models and different versions of the same model.

• Develop solutions for real-world, large-scale problems.

• As needed, lead teams to deliver on more complex pure and applied research projects.

Minimum Requirements:

• Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Data Science, Social or Applied Sciences, or a related field

• 5-8 years of relevant experience in AI ethics, AI research, Security, Trust & Safety, or similar roles. Additional experience researching responsible generative AI challenges and risk mitigations.

• Expertise in one of the following areas: alignment, adversarial robustness, interpretability/explainability, or fairness in generative AI.

• Proven leadership, organizational, and execution skills. Passion for developing cutting-edge AI ethics technology and deploying it through a multi-stakeholder approach.

• Experience working in a technical environment with a broad, cross-functional team to drive results, define product requirements, coordinate resources from other groups (design, legal, etc.), and guide the team through key milestones

• Proven ability to implement, operate, and deliver results via innovation at a large scale.

• Excellent written and oral communication skills, as well as interpersonal skills, including the ability to articulate technical concepts to both technical and non-technical audiences.

Preferred Requirements:

• 8-10 years of relevant experience in AI ethics, AI research, security, Trust & Safety, or similar roles

• Advanced degree in Computer Science, Human-Computer Interaction, Engineering, Data Science or quantitative Social Sciences

• Published research on algorithmic fairness, accountability, and transparency, especially around detecting and mitigating bias or AI safety.

• Full-time industry experience in deep learning research/product.

• Strong experience building and applying machine learning models for business applications.

• Strong programming skills

• Experience in implementing high-performance and large-scale deep learning systems.

• Thoughtful about AI impacts and ethics.

• Fantastic problem solver; ability to solve problems the world has not solved before.

• Presented a paper at NeurIPS, FAccT, AIES, or similar conferences

• Works well under pressure, and is comfortable working in a fast-paced, ever-changing environment.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.For New York-based roles, the base salary hiring range for this position is $172,000 to $34,600.For Washington-based roles, the base salary hiring range for this position is 157,600 to 306,600.For California-based roles, the base salary hiring range for this position is 172,000 to 334,600.Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: #J-18808-Ljbffr