Machine Learning Engineer developing features and models to enhance Slackbot user experience. Collaborating with cross-functional teams to deliver impactful solutions for millions of users.
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.
Senior Software Engineer at Growth Acceleration Partners, designing and deploying production - grade AI solutions. Collaborating closely with data, platform, and product teams in a hybrid setup.
Machine Learning Engineer providing leadership and development for ML applications in financial services at Capital One. Collaborating with cross - functional teams to solve business problems through ML.
Research intern applying machine learning techniques to impactful projects in Seagate's Software and Applied AI Research team. Opportunity to work on AI solutions, predictive maintenance, and more.
Machine Learning Software Engineer at Mobileye bridging machine learning research and robust production deployment. Developing scalable inference pipelines primarily in Python with infrastructure tools.
Intern working on peptide and minibinder design at pharmaceutical company. Collaborating with professionals on innovative projects in machine learning and computational chemistry.
Senior Machine Learning Engineer at BenchSci focusing on developing machine learning models for biomedical applications. Collaborating with a team to enhance scientific experiments through AI - driven solutions.
Automation Lead Software Engineer working on AI and machine learning solutions at Wells Fargo. Leading initiatives and collaborating on complex technology projects.
Machine Learning Engineer at Capital One productionizing machine learning applications and systems at scale. Focusing on model design, collaboration with cross - functional teams, and optimizing data pipelines.
Senior Machine Learning Engineer building and scaling machine learning systems for Viu’s OTT platform. Involves end - to - end ML workflows and collaboration with cross - functional teams.
Intern supporting analysis of vehicle data and development of Machine Learning models at BMW Group. Focusing on strategies for improving driving efficiency and climate control behavior.