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Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Flexible PTO policy
•Parental leave program
Required Skills
SQL
Python
TensorFlow
Senior Machine Learning Engineer, AI Research
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. Salesforce AI Research is looking for an exceptional Senior Machine Learning Engineer to help us apply and deliver cutting-edge AI to high-impact use cases. You will work on innovative AI applications and products, bringing ambitious vision to reality with advanced software engineering.
About the Role
In your role as a Senior Machine Learning Engineer in AI Research, you will partner with researchers, applied scientists, engineers, and team members across all Cloud businesses to create AI models and solutions that transform Salesforce.
Your Impact
- Work closely with a dedicated team of AI researchers, applied scientists, and engineers on a range of business problems and applied research
- Lead the charge on taking our innovations to the next level in terms of engineering maturity and architecture
- Refine and develop new AI-powered products, workflows, tools, and automation
- Build tools to monitor or measure data pipelines, data quality, and models
- Establish best practices with coding standards, workflows, tools, and product automation
- Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones
- Scale the operations of the team by building automation and libraries
Required Skills
- 2+ years of industry experience and a passion for crafting, analyzing, and deploying AI-based solutions
- Proficient in using Python and common AI/ML frameworks (e.g., Tensor Flow, Py Torch, Deep Speed, vLLM, or similar) and AI tools to implement models and algorithms
- Demonstrated experience with actually shipping code, getting AI/ML into production
- Experience with AI model training and model serving
- Experience designing, building and optimizing AI model and data pipelines
- Strong understanding of AI and Machine Learning, spanning basic AI foundations, project lifecycle, and associated challenges
- Proficient at writing good quality, well-documented and tested, scalable code
- Strong communication skills and ability to interface well with other engineers, researchers, and product managers
- Independent, self-starter attitude
Nice to Have
- Experience in working in a research environment
- M.S. in a related technical field such as Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or similar
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.
Compensation
The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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
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 strives to create a workplace that's inclusive and free from discrimination.
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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.
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.
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About Salesforce

Salesforce
PublicA cloud-based software company that provides customer relationship management software and applications.
10,001+
Employees
San Francisco
Headquarters
$243B
Valuation
Reviews
4.0
16 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Competitive compensation packages
Remote work flexibility
Good benefits (headphone/internet reimbursement)
Cons
Ongoing layoffs and job insecurity
Poor refresher/yearly stock grants
Condescending interview processes
Salary Ranges
45 data points
Mid/L4
Senior/L5
Mid/L4 · Analyst Business Intelligence
1 reports
$156,823
total / year
Base
$120,633
Stock
-
Bonus
-
$156,823
$156,823
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Offer Rate
20%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview Panel
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
News & Buzz
Good pay but culture getting worse day by day
Compensation is decent but culture has shifted to high performance focus with constant reorgs and leadership changes
News
·
NaNw ago
WLB not good & culture is getting changed day by day
Internal political situation deteriorating, frequent layoffs impacting remaining employees workload and wellbeing
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NaNw ago
Great work life balance but unclear career growth
WLB is great with flexible hours and remote-friendly policies, but promotion opportunities are very limited
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·
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Salesforce Interview Experience
Two technical rounds with friendly interviewers, tested on C, debugging, storage concepts, and algorithm problems
News
·
NaNw ago