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Ai Research Jobs (NOW HIRING)

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

Work with the Fundamental AI Research Team to produce high impact AI research. Responsibilities: * Lead, collaborate, and execute on research that pushes forward the state of the art in large ...

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded directly in Facebook's ecosystem, helping ...

We're hiring Research Engineers to join teams across Meta working at the intersection of frontier AI and real-world product impact. You'll be embedded d.

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Ai Research information

How do I become an AI researcher?

To become an AI researcher, typically a strong background in computer science, mathematics, or related fields is required, often including a master's or Ph.D. degree. Developing skills in programming languages like Python, understanding machine learning frameworks, and gaining experience through research projects or internships are essential steps in the field.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in mathematics, computer science, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Creativity, critical thinking, and effective collaboration are vital soft skills for innovating and communicating complex ideas. These skills ensure researchers can develop novel AI solutions, contribute to cutting-edge advancements, and work effectively within interdisciplinary teams.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior machine learning executives, often in large tech companies or specialized firms. These positions usually require extensive experience, advanced degrees, and expertise in AI algorithms, data science, and leadership, with compensation including salary, bonuses, and stock options. Such roles are rare and represent top-tier positions in the AI industry.

What is the difference between Ai Research vs Data Scientist?

AspectAi ResearchData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, tech companies, analytics teams
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, generating insights

While both roles involve working with data and algorithms, Ai Research focuses on developing new AI methods and theories, often in research settings. Data Scientists apply these techniques to solve practical business problems through data analysis and modeling. The roles overlap in skills and tools but differ mainly in their objectives and work environments.

What is AI research?

AI research is the scientific study and development of algorithms, models, and systems that enable computers to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, computer vision, robotics, and reasoning. AI researchers work to advance the field by creating new methods, improving existing technologies, and exploring ethical and societal impacts of artificial intelligence. Their work is crucial in driving innovation across industries, from healthcare to autonomous vehicles.

What are some common challenges faced by AI researchers when working on real-world projects?

AI researchers often encounter challenges such as dealing with insufficient or biased data, ensuring model interpretability, and balancing research innovation with project deadlines. Collaborating closely with data engineers, software developers, and domain experts is essential to address these hurdles and translate theoretical models into practical solutions. Additionally, aligning research outcomes with business goals while keeping up with the rapidly evolving AI landscape can be demanding, but it also provides valuable opportunities for continuous learning and career development.

Which AI job is high paying?

High-paying AI jobs typically include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, especially those with advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch. These positions often require a strong educational background, specialized certifications, and several years of experience, with salaries exceeding six figures in many regions.

What does an AI researcher do?

An AI researcher develops algorithms and models to enable machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. They often work with machine learning, deep learning, and data analysis tools, and may publish findings or collaborate with interdisciplinary teams. Their work involves designing experiments, analyzing data, and staying current with advancements in artificial intelligence technology.
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Research Scientist - Salesforce AI Research

Research Scientist - Salesforce AI Research

Salesforce

San Francisco, CA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


Salesforce rating

7.8

Company rating: 7.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

101st of 190 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Salesforce Research advances state-of-the-art AI techniques, developing models and prototypes that pave the path for innovative products at Salesforce. We tackle real-world problems in areas such as image recognition and natural language processing from Salesforce's enterprise customers by harnessing the latest deep learning techniques. As part of our team you'll learn unique skills, work with talented people and help us shape the future of AI in Palo Alto and our recently announced new hub, Salesforce Research Asia in Singapore!

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Salesforce AI Research is looking for outstanding AI Research Scientists and Research Engineers. Our team discovers new research problems, develops novel models, and bridges the gap between groundbreaking theory and customer-facing reality. We are dedicated to a high-impact research model that provides the best of both worlds: the ability to advance the state-of-the-art in AI and the opportunity to see that work operate at massive, real-world scale within the world's #1 AI CRM. We believe that making substantive progress on hard, enterprise-level applications drives and sharpens the research questions we study - and that the best researchers are also builders.
Learn more about our team at salesforceairesearch.com.
Candidates have a strong background in one or more of the following areas:
  • Agentic AI and Reasoning: Large language model (LLM)-powered agents, reinforcement learning (RL), reasoning and planning, autonomous workflows, self-evolving agent systems, computer use agents, deep research agents, and coding agents.
  • Multimodal and Computer Vision: Vision-language models (VLM), video understanding, visual grounding for agents, and multimodal AI agents.
  • Speech Intelligence: Voice intelligence, text-to-speech/automatic speech recognition (TTS/ASR), human-like turn-taking, and low-latency audio processing.
  • Core Modeling and Post-Training: Machine learning methodology, pre-training and post-training techniques including reinforcement learning from human feedback (RLHF) and direct preference optimization (DPO), model distillation, evaluation, causal inference, and time series modeling.

What You'll Actually Be Doing
  • Discover new research problems, develop novel models, and translate cutting-edge ideas into practical, high-performance implementations that reach millions of users.
  • Design, train, evaluate, and deploy neural networks and agent systems for enterprise applications at massive scale.
  • Lead LLM fine-tuning, post-training, and model optimization tasks, including the application of RL and simulation to improve model accuracy and reliability.
  • Collaborate across a cross-functional team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

You're Our Person If...
  • You have a Ph.D., Master's, or equivalent industry/research experience in Computer Science, Machine Learning, or a related technical field.
  • You have a strong publication record at top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) and/or a proven track record of shipping AI research into real-world products.
  • You are motivated by real-world impact - you care about seeing your research leave the lab and reach users at scale.
  • You bring demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, RL, Computer Vision and Multimodal, or Speech Intelligence.
  • You are proficient in Python and deep learning libraries such as PyTorch, JAX, or DeepSpeed.

Even Better If...
  • You have experience training and evaluating large-scale multimodal or speech models, including techniques for alignment, safety, and latency optimization.
  • You have designed and deployed AI agents - including computer use agents, deep research agents, or tool-using agents - in real-world or research settings.
  • You have hands-on experience with RL, simulation, or self-evolving agent systems.
  • You have experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or machine learning operations (MLOps).
  • You are thoughtful about responsible AI, trust, and the real-world impact of the systems you build.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.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.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $117,200 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $141,200 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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