Senior Data Scientist, Salesforce

• The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering, with a passion for building scalable and secure AI-driven solutions
• If you are excited about pushing the boundaries of AI in security and working with advanced technologies, we encourage you to apply!
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 5+ years of hands-on experience in engineering roles focused on Machine Learning, Information Retrieval, Recommendation Systems, Personalization (p13n), Natural Language Processing, Learning to Rank, and Retrieval-Augmented Generation (RAG)
• Proficient in building and prototyping machine learning models and algorithms, with experience wrangling large datasets
• Skilled in Python and widely used machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, JAX, SciPy, and Pandas
• Experience deploying and managing AI solutions on cloud platforms such as AWS SageMaker and Amazon Bedrock
• Experience designing and building microservices, with expertise in Kubernetes, Terraform, Docker, RESTful APIs, and gRPC
• Strong background in Agile software development and Test-Driven Development (TDD) methodologies
• Proficient in SQL, shell scripting, and Unix/Linux command-line tools
• Strong foundation in algorithms, data structures, numerical optimization, data mining, parsing techniques, and high-performance computing
• Expertise in parallel and distributed computing for scalable AI and ML solutions
• Deep understanding of fairness in AI, with the ability to implement state-of-the-art and globally recognized fairness evaluation standards, particularly in generative AI
• Experience in Identity and Access Management (IAM) and Cybersecurity is also preferred
• Proven ability to work across teams of engineers, data scientists, and researchers to develop and optimize AI-driven solutions

• We are seeking highly skilled AI Software Engineers to join our team in developing a cutting-edge AI platform for Enterprise IAM Security
• Develop and optimize state-of-the-art AI models to enhance enterprise security
• Design and scale AI infrastructure for high-performance and efficiency
• Collaborate with cross-functional teams to drive innovation and deliver impactful solutions
• Analyze large-scale datasets to identify trends, opportunities, and challenges in AI-powered tools and features
• Develop, optimize, and test machine learning models (predictive, generative, NLP) using cloud platforms such as Salesforce Cloud and AWS SageMaker
• Build and curate datasets for testing both generative and predictive models in collaboration with cross-functional teams
• Participate in technical discussions and lead engineering initiatives in Responsible AI, ensuring model fairness and safety before deployment
• Evaluate and compare tools and libraries (both Salesforce-built and open-source) to determine the most suitable solution for specific use cases
• Design and implement quantitative metrics to extract insights from structured datasets
• Develop and maintain reports and dashboards to track key performance indicators (KPIs) and other critical metrics
• Monitor and analyze log data to detect potential harms, threats, and valuable insights
• Create data visualizations to effectively communicate insights and trends to stakeholders
• Ensure data integrity by identifying and resolving discrepancies across structured and unstructured datasets

• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year

Total funding: $64.5m

Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.