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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

We are seeking a Senior Machine Learning Engineer, who will own and deliver ML capabilities that will power the core features of our internal email platform. You will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. 

Responsibilities

* Experience working with production level machine learning and deep learning algorithms
* Provide technical leadership and be a role model for those pursuing technical career path in AI/ML engineering
* Drive impactful ML technology initiatives from inception to production
* Own the development of sophisticated, multi-component, scalable AI models and applications
* Align design and technical decisions across internal organizations
* Promote the development of high-quality code through engagement in code review and constructive feedback
* Increase internal and external company visibility in the AI community through open source, talks/presentations, etc.
* Deep understanding of the concepts and methods behind frameworks or libraries
* Develop a collaborative relationship with upstream and downstream teams to facilitate the end-to-end solutions for the corresponding product domains

Required Skills
* 5+ years of ML engineering experience in an academic or professional setting
* 3+ years of experience with modern Natural Language Processing (NLP) tools (HuggingFace Transformers, AllenNLP, SpaCy) and machine learning libraries (scikit-learn, PyTorch, TensorFlow)
* 3+ years of experience with fundamental AI/ML technologies such as supervised, unsupervised machine learning, deep learning and reinforcement learning
* Strong experience building and launching Natural Language Generation (NLG) models & LLM orchestration systems into production environments.
* Familiarity with current ML literature including optimization methods and agent-based models
* Fluency in OO design and programming in Python 
* Experience with unit, integration, and end-to-end testing, version control
* Proven track record of driving ML initiatives from ideation to production
* Strong problem solving and communication skills and ability to influence across internal organizations
* Strong experience leading design and implementation of robust and highly scalable services
    

Preferred Skills

* Experience with A/B testing & experimental design
* Professional experience with clinical and/or healthcare applications of machine learning
* 2+ years of experience with AWS, including SageMaker, Lambda, S3, DynamoDB, IAM
* Strong programming skills in object-oriented languages, with ability to debug and optimize a code
* Deep hands-on expertise in relevant algorithms or methods, such as non-linear optimization, computational geometry, numerical analysis, distributed systems
* Experience building and shipping software frameworks or tools that are used by others than the authors of the framework
* Working knowledge of machine learning, data engineering, deep learning
* Possess natural curiosity and technical competence, being capable of asking critical questions and always ready to address any challenges

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