Description
Sr. Manager - Machine Learning
Location: Bangalore, Karnataka, India
Department: Engineering
Work Location: hybrid
About Eightfold
Eightfold is a global leader in AI-native enterprise talent platform, trusted by the world’s largest & most respected fortune 500 organizations. Our platform is built from the ground up operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. Backed by over $410M in funding and valued at $2B+, we are defining the next era of agentic talent systems.
What sets Eightfold apart is not just the technology & our mission, but the team behind it. We are a deeply technical, execution-driven organization that values ownership, collaboration, and high standards. Our engineers, product leaders, and go-to-market teams work closely together — in person and across functions — to build systems that scale in the real world. If you’re excited to work on hard problems, move with urgency, raise the bar every day, and help build agentic systems that transform how the world works, Eightfold is the place to do it.
Eightfold.ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia-IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google.
About AI Platform Team:
Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions. We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning. We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management.
What you will do (or learn to do):
- This is a People Leadership role. You will lead and mentor a team of talented engineers, focusing on coaching, mentoring, and performance management to foster a high-performing team environment.
- You will own, train, build, and deploy cutting-edge deep learning models across all Eightfold products, end to end.
- You will collaborate on various ideas and ensure that a highly reliable, world-class platform exists to run ML models.
- You will help build high-performance, flexible infrastructure and services that can rapidly evolve to handle new technologies, techniques, and modeling approaches.s
- You will implement and operate an intuitive, easy-to-use, and flexible ML development framework.
- Build data pipelines that can generate structure from unstructured data.
- Create industry best practices for Machine Learning in Recruiting
- Own building and deploying cutting-edge deep learning models across all Eightfold products
- Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform
- Work with various product teams to apply deep learning as relevant
What you should already know:
- Strong foundation in Machine Learning (ML), Deep Learning, and NLP
- Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.
- Ability to work cross-functionally & interface with data science experts across the Eightfold customer base
- Familiar with Language models, transformers like BERT, GPT-3, T-5 etc.
- BS or MS or PhD degree in Computer Science, Data Science or Mathematics
- Exceptionally strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. )
- Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.
- Prior experience building and deploying machine learning models in production at scale
- Understanding of data and/or ML systems with ability to think across layers of the stack - REST APIs, microservices, data ingestion and processing systems, and distributed systems.
- Extensive experience with scientific libraries in Python (numpy, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.).
- Experience of implementing production machine learning systems, working with large scale datasets and solid understanding of machine learning theory.
- Metrics-focused and passionate about delivering high quality models.
- Experience with analyzing large data sets, using Hadoop, Spark
Nice To have:
- Experience with real-time technology problems
- Familiar with Pandas / Python machine learning libraries
- Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
- Familiar with a cloud based environment such as AWS
- Familiarity with MLOps tools and pipelines (MLflow, Metaflow).
Hybrid Work
At Eightfold, we believe our best work happens when we collaborate closely, learn from one another, and build together. We follow a hybrid work model that combines flexibility with a strong emphasis on in-person collaboration to foster innovation, culture, and rapid execution.
Employees based near our Santa Clara, Bangalore, and Noida offices are expected to work from the office three days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams.
Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability.
Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.
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