Engineering Leader - Machine Learning Job in Eightfold

Engineering Leader - Machine Learning

Location: Bangalore, Karnataka, India

Employment Type: Full-Time | Hybrid Work Model

About Eightfold.ai

At Eightfold.ai, we re revolutionizing the future of employment by leveraging artificial intelligence to connect individuals to the right career opportunities based on their skills, not just their network. Our AI-powered Talent Intelligence Platform is transforming how organizations plan, hire, develop, and retain a diverse workforce.

With $410M+ in funding and a $2B+ valuation, we re growing rapidly, and if you're passionate about solving one of society's most critical challenges employment then Eightfold is the place for you.

Led by visionary leaders like Ashutosh Garg (former Google Search and Personalization leader) and Varun Kacholia (former Facebook and Youtube leader), we are shaping the future of AI-powered talent management.

About the AI Platform Team

Our AI/ML team is the heart of Eightfold, pushing the boundaries of applied machine learning. We re working with massive datasets, solving complex problems, and building cutting-edge AI models that are reshaping how companies approach talent management. Join us if you re eager to work in a team where every day presents a new challenge and opportunity.

What You ll Do

As the Engineering Leader - Machine Learning, you ll be responsible for leading and mentoring a high-performing team of engineers, driving the success of AI-driven products at Eightfold. Your primary responsibilities will include:

• Team Leadership: Coach, mentor, and manage a talented team of engineers to foster a culture of innovation, collaboration, and high performance.
• ML Model Ownership: Lead the development and deployment of cutting-edge deep learning models across all Eightfold products, ensuring reliability, scalability, and high-quality performance.
• Platform Development: Help build high-performance, flexible infrastructure that supports a variety of deep learning techniques and modeling approaches.
• End-to-End ML Pipeline: Oversee the end-to-end process of building and deploying machine learning models, including creating robust data pipelines that can process unstructured data.
• ML Framework Implementation: Design and implement an intuitive ML development framework that ensures efficiency and ease of use for data scientists and engineers.
• Model Fairness: Work with our internal model fairness platform to ensure that we are providing equal opportunity for everyone through responsible ML practices.
• Cross-Team Collaboration: Work closely with product teams to apply deep learning techniques to solve complex business problems across various domains.

What You Should Already Know

To be successful in this role, you should have:

• Strong Foundation in ML & Deep Learning: Expertise in applying Natural Language Processing (NLP) and deep learning solutions to solve real-world problems.
• Experience with Language Models: Familiarity with advanced language models such as BERT, GPT-3, T5, and others.
• Academic Background: A BS, MS, or PhD in Computer Science, Data Science, Mathematics, or related fields.
• Proven ML Experience: Hands-on experience building and deploying machine learning models at scale, particularly in production environments.
• Programming Expertise: Strong knowledge of ML languages such as Python, C++, Java, R, Scala, and experience with scientific libraries like numpy, pandas, and frameworks like TensorFlow, PyTorch, scikit-learn, etc.
• Strong ML Theory Knowledge: In-depth understanding of ML theory and experience working with large-scale datasets, data ingestion, and processing systems.
• Experience with Distributed Systems: Familiarity with distributed systems, including REST APIs, microservices, and data processing frameworks.
• Metrics-Focused: A passion for building high-quality models that deliver results and metrics-driven outcomes.

Nice to Have

• Real-Time Tech Problems: Experience with real-time processing or low-latency systems.
• Cloud Environments: Familiarity with cloud platforms like AWS, and experience using cloud-based ML tools.
• MLOps Tools & Pipelines: Experience with MLflow, Metaflow, or similar tools to streamline ML workflows and operations.
• Advanced Tech Stack: Familiarity with tools like Spark, MLlib, Databricks, Apache Airflow, etc.

Why Eightfold?

• Impactful Work: Join a company dedicated to solving one of society's most pressing issues employment. Your work will have a direct impact on individuals' careers around the world.
• Innovation at Scale: Work with cutting-edge AI and ML technologies to shape the future of talent management.
• Competitive Compensation: Receive an attractive salary, equity, and comprehensive benefits package (including family medical, vision, and dental coverage).
• Collaborative Environment: Work in a culture that values transparency, ownership, and collaboration across teams.
• Hybrid Work Model: Enjoy a hybrid work environment, with flexibility for remote work and in-office collaboration at our Bangalore office.
• Growth Opportunities: Be part of a rapidly scaling company with vast opportunities for career development and leadership roles.

Equal Opportunity Employer

Eightfold.ai is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.

Ready to Lead the Future of AI?

If you are an experienced and visionary leader in Machine Learning, eager to make a lasting impact while solving one of society's most important challenges, we would love to hear from you.