refresh

지금 많이 보는 기업

지금 많이 보는 기업

Salesforce
Salesforce

The Customer Company - CRM + Data + AI + Trust

Research Scientist - Salesforce AI Research

직무머신러닝
경력미들급
위치California - Palo Alto
근무오피스 출근
고용정규직
게시3개월 전

보상

$117,200 - $313,700

지원하기

복지 및 혜택

스톡옵션

의료보험

육아휴직

교육비 지원

필수 스킬

Apache Spark

SQL

Airflow

Job Category

Software Engineering

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.

About the Role

Salesforce AI Research is looking for outstanding AI Research Scientists / Research Engineers. Do you want to be at the forefront of a team at Salesforce that is making history? Do you want to develop new technology and science that millions of CRM customers will use? Are you excited about working on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning?

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.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team: https://www.salesforceairesearch.com

Candidates have a strong background in one or more of the following areas:

  • Agentic AI & Reasoning: LLM-powered agents, reinforcement learning, and autonomous workflows.
  • Multimodal & Computer Vision: Vision-language models (VLM), video understanding, and visual grounding for GUI agents.
  • Speech Intelligence: Voice intelligence, TTS/ASR, human-like turn-taking, and low-latency audio processing.
  • Efficient Systems: Scalable deep learning infrastructure, high-performance audio/video pipelines, and low-latency deployment.
  • Core Modeling: Machine learning methodology, pre-training/post-training (RLHF, DPO), and model distillation.

Responsibilities

  • Own and pursue ambitious research and engineering goals aligned with strategic initiatives.
  • Develop novel models and technical solutions for real-world, large-scale problems within the enterprise ecosystem.
  • Design, build, and maintain production-ready services, including scalable APIs and agentic evaluators.
  • Collaborate across a strike-team of researchers and engineers to deliver complex projects that directly impact our core AI products and customer experiences.

Minimum Qualifications

  • Ph.D., Master's, or Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • A strong publication record in top AI venues (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, EMNLP) OR a proven track record of shipping AI products to real users.
  • Demonstrated expertise in one or more core focus areas: LLMs, Agentic Systems, Computer Vision/Multimodal, Speech Intelligence, or Research Engineering.
  • Experience with Python and deep learning libraries/platforms (e.g., Py Torch, Jax, or Deep Speed).
  • Proven ability to implement, operate, and deliver results via innovation at a large scale.

Preferred Qualifications

  • Full-time industry experience in deep learning research and/or product development.
  • Experience training and evaluating large-scale multimodal models or speech models, including techniques for alignment, safety, and latency optimization.
  • Experience with production cloud deployments (AWS/GCP), container orchestration (Kubernetes), or high-performance systems (MLOps).
  • Strong programming skills, with a competitive background (e.g., ACM-ICPC or significant open-source contributions) or experience in UI/graphic design.
  • Thoughtful about AI impacts, trust, and ethics.
  • Outstanding communication, collaboration, and problem-solving skills.

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 and be your best, and our AI agents accelerate your impact so you can do 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.

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)
  • Employee stock purchasing program

More details about company benefits can be found at: https://www.salesforcebenefits.com

Compensation

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.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Equal Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. Salesforce believes in equality for all and is committed to creating a workplace that's inclusive and free from discrimination.

Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and all other employment decisions — 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.

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.

Application Note

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.

전체 조회수

0

전체 지원 클릭

0

전체 Mock Apply

0

전체 스크랩

0

Salesforce 소개

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

직원 수

San Francisco

본사 위치

$243B

기업 가치

리뷰

10개 리뷰

4.3

10개 리뷰

워라밸

3.2

보상

4.5

문화

4.6

커리어

4.2

경영진

4.1

78%

지인 추천률

장점

Great benefits and high salary

Excellent work culture and supportive management

Career advancement and development opportunities

단점

Work-life balance challenges and long hours

High-pressure environment with heavy workload

Fast-paced environment with high expectations

연봉 정보

50개 데이터

Junior/L3

L6

Senior/L5

L3

L5

Junior/L3 · Associate Data Engineer

1개 리포트

$120,510

총 연봉

기본급

$92,700

주식

-

보너스

-

$120,510

$120,510

면접 후기

후기 4개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Assessment

5

Virtual Technical Interview

6

Onsite/Final Interview Loop

7

Manager Interview

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience