Advanced Machine Learning Software Engineer
3 weeks ago
About Salesforce
As a leader in the Customer Company, we inspire the future of business with AI+ Data +CRM. Our core values drive us to help companies across every industry blaze new trails and connect with customers in a whole new way.
We empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world.
Job Summary
We're seeking an experienced Machine Learning Engineer to join our team. As a key contributor, you will conceptualize and build new features for our large user base, produce high-quality results by leading or contributing heavily to multi-functional projects, and collaborate with peers to triage bugs and tackle production issues.
Responsibilities
- Braintstorm with Product Managers, Designers, and Engineers to conceptualize and build new features.
- Produce high-quality results by leading or contributing heavily to large multi-functional projects.
- Collaborate with peers across Engineering to triage bugs and tackle sophisticated production issues.
- Mentor other engineers and deeply review code.
- Improve engineering standards, tooling, and processes.
- Design and deliver scalable RAG services that can be integrated with numerous applications.
- Drive system efficiencies through automation, including capacity-planning, configuration management, performance tuning, monitoring, and root cause analysis.
- Participate in on-call rotations and resolve critical issues.
- Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements and design prototypes.
Requirements
- 8+ years experience with machine learning and software engineering.
- Put machine learning models into production at scale, especially for text-based applications.
- Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java.
- Built with common ML frameworks like pytorch, Keras, XGBoost, Tensorflow, or Scikit-learn.
- An analytical and data-driven approach, and know how to measure success with complicated ML/AI products.
- Familiarity with search technologies like Elasticsearch and Solr.
- Led technical architecture discussions and drove technical decisions within the team.
- Write understandable, testable code with an eye towards maintainability.
- Strong communication skills and ability to explain sophisticated technical concepts.
- Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.
- A bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
- Proficient in Python, SQL, and libraries like TensorFlow, PyTorch, or scikit-learn.
- Highly skilled with statistical, AI/ML, and agentic techniques.
- Experience with infrastructure automation tools and DevOps principles.
- Experience using telemetry and metrics to drive operational excellence.
- Ability to communicate findings to executives and product teams.
- Ability to learn quickly and deliver high-quality code in a fast-paced team environment.
Preferred Skills
- Deployed production RAG pipelines.
- Experience in A/B testing and experimentation.
- Experience with LLM evaluation and monitoring at scale.
- Experience with search or ranking-oriented ML features and systems.
- Strong background in multiple ML approaches.
- Experience with conversational AI.
- Expertise in retrieval systems and search algorithms.
- Familiarity with vector databases and embeddings.
- Knowledge of demonstrating multiple data types in RAG solutions.
Benefits
We offer a competitive salary range of $165,600 - $372,900 per year, depending on location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. Learn more about our company benefits at https://www.salesforcebenefits.com.
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