Senior Software Engineer innovating with Generative AI solutions for cutting - edge network management. Oversee software development lifecycle and collaborate with cross - functional teams.
About the role
- Machine Learning Engineer developing ML models and features to enhance Slack’s user experience through AI. Collaborating with cross-functional teams to drive impactful improvements.
Responsibilities
- Leveraging machine learning and artificial intelligence subject matter expertise to drive improvements in the Slackbot experience.
- Develop ML models supporting ranking, retrieval, and generative AI use-cases.
- Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.
- Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.
- Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.
- Support in the development of sustainable data collection pipelines and management of ML features.
- Assist our skilled support team and operations team in triaging and resolving production issues.
- Mentor other engineers and deeply review code.
- Improve engineering standards, tooling, and processes.
Requirements
- 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
- Fine tuned LLMs or BERT models.
- Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.
- An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.
- Put machine learning models or other data-derived artifacts into production at scale.
- 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.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
AI/ML Engineer applying AI/ML techniques in hardware manufacturing for yield prediction and process improvement. Collaborating on research and deployment of machine learning models.
Senior Machine Learning Engineer developing advanced ML and NLP solutions for Forrester’s conversational AI chatbot. Collaborating with cross - functional teams to deliver scalable, production - ready ML systems.
Machine Learning Engineer designing GPU computing kernels to optimize 3D GenAI models at Meshy. Collaborating with researchers to enhance performance and efficiency in GPU module development.
Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.