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Senior Staff Software Engineer, Machine Learning Architect
1 month ago
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Our team has built out robust functionality spanning LLM deployment, evaluation, monitoring, and quality improvements.
As a Senior Staff Machine Learning Engineer, you will craft and implement ML and generative AI powered features that leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users.
You will lead technical architecture discussions and help drive technical decisions within the team. You will also mentor other engineers and deeply review code.
Key responsibilities include:
- Brainstorming with Product Managers, Designers, and Engineers to conceptualize and build new features for our large and growing user base.
- Producing high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
- Helping other engineers actively own features or systems and defining their long-term health, while also improving the health of surrounding systems.
- Assisting our skilled support team and operations team in triaging and resolving production issues.
- Mentoring other engineers and deeply reviewing code.
- Improving engineering standards, tooling, and processes.
You may be a fit for this role if you have:
- 10+ years of experience with machine learning and software engineering.
- Put machine learning models, generative AI, or other data-derived artifacts into production at scale, especially for text-based applications.
- Worked on generative AI apps with Large Language Models and possibly fine-tuned them or improved quality through other methods.
- Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala, or Java.
- Built with common ML frameworks like PyTorch, TensorFlow, Keras, XGBoost, or Scikit-learn.
- Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, Airflow, Dagster, or Luigi.
- An analytical and data-driven mindset, and know how to measure success with complicated ML/AI products.
- Led technical architecture discussions and helped drive technical decisions within the team.
- The ability to write understandable, testable code with an eye towards maintainability.
- Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.
- 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, or you have equivalent training, fellowship, or work experience.
Bonus points:
- Deployed production RAG pipelines.
- Experience with LLM evaluation and monitoring at scale.
- Experienced in A/B testing and experimentation.
- Knowledge of leveraging multiple data types in RAG solutions including structured, unstructured, and graph.
At Salesforce, we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
