Remote Jobs

Databricks logo

Manager - Machine Learning

Databricks

Location
India
Posted

Lead Machine Learning Practice team in India, manage hiring & growth, drive business value through ML

Rackspace logo

Senior Machine Learning Engineer - Vietnam remotely

Rackspace

Location
Viet Nam
Posted

Senior Machine Learning Engineer - Vietnam remotely: Deliver ML models and pipelines that solve real-world business problems using cloud-based architectures and technologies.

KoBold Metals logo

Machine Learning Engineer, Staff or Principal

KoBold Metals

Location
Canada
Posted
Salary Range
200k - 275k USD

Build ML systems for mineral exploration at KoBold. Collaborate with data scientists and geologists to predict ore locations using advanced tools and techniques.

Plaid logo

Experienced Software Engineer - Machine Learning Infra

Plaid

Location
United States of America
Posted
Salary Range
183k - 297k USD

Design and develop the Feature Store platform at Plaid, leading strategic initiatives in ML infrastructure to support fintech innovations.

Reddit logo

Senior Staff Machine Learning Engineer - Ads Measurement

Reddit

Location
United States of America
Posted
Salary Range
266k - 372k USD

Lead identity resolution systems using ML techniques; collaborate with cross-functional teams to enhance ad measurement capabilities. Drive architectural decisions and mentor junior engineers while ensuring compliance with privacy requirements.

Gitlab logo

Intermediate Machine Learning Engineer - AI Powered: AI Framework

Gitlab

Location
Anywhere in the world
Posted

Design and implement technical evaluators for LLM assessment, contribute to evaluation infrastructure consolidation efforts, build scalable evaluation pipelines and frameworks, develop and manage datasets and evaluation metrics, collaborate with feature teams to integrate validation solutions, optimize performance across ML evaluation systems, support improvements to GitLab’s AI-powered tools through validation, and ensure all solutions align with GitLab’s infrastructure and security protocols.

Dropbox logo

Senior Machine Learning Engineer - Strategic Intelligence Group

Dropbox

Posted
Salary Range
189k - 288k USD

Enhance security and prevent abuse by developing advanced ML models to detect threats and protect user trust at Dropbox. Collaborate with cross-functional teams to integrate ML solutions into workflows and platforms.

Learning Analytics Lead

Coursera

Location
United States of America
Posted
Salary Range
152k - 170k USD

Lead Coursera's learning analytics initiatives, analyze educational data, and enhance teaching and learning through data science and psychometric practices.

Dropbox logo

Senior Machine Learning Engineer, Dash - Ranking and Recommendations

Dropbox

Location
Canada
Posted
Salary Range
200k - 270k CAD

Design and deploy large-scale machine learning systems at Dropbox to enhance user collaboration and organization. Work with cross-functional teams to integrate AI/ML advancements into products, utilizing tools like PyTorch and Scikit-learn.

Databricks logo

Manager - Machine Learning

Databricks

Job Location

India

Job Summary

Databricks is seeking a Manager to lead its Machine Learning Practice team in India. The ideal candidate will have 3+ years of experience managing, hiring, and building a team of data scientists/ML engineers. They should possess deep technical understanding of data science, ML, GenAI, and the latest trends. The manager will be responsible for managing hiring, onboarding, and growing the team, developing relationships with customers and partners, and collaborating cross-functionally with R&D to define priorities and influence the product roadmap. The role also involves leading strategic PS initiatives, practice development, and processes, as well as driving revenue and utilization. Databricks values collaboration, life-long learning, and driving business value through ML. The team is looking for a world-class leader who can shape the future of AI in India.

CSQ326R37

Mission

The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. 

We are investing heavily in continuing to grow our global team, and looking for a world-class Manager to lead our ML Practice in India. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our ML Professional Services Global Leader. This role can be remote, with a preference for candidates located in Bangalore. This will be the first ever leadership hire for this team in India !

The impact you will have:

  • Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year. 

  • Develop relationships with key customers and partners, scope customer engagements, and manage escalations

  • Align with Professional Services and Sales leaders both in the Global Delivery Center and globally

  • Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap 

  • Lead strategic PS initiatives, practice development, and processes

  • Own OKRs for revenue and utilization, with a focus on driving Databricks consumption

  • Lead Databricks cultural values by example and champion Databricks brand

What we look for:

  • 3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes

  • Deep hands-on technical understanding of data science, ML, GenAI and the latest trends

    • While managers do not deliver customer engagements directly, we expect that individuals are able to get hands-on in the Databricks product to demo to customers, dogfood product features to provide input to R&D, etc. 

  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP

  • Passion for collaboration, life-long learning, and driving business value through ML

  • Company first focus and collaborative individuals - we work better when we work together

  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

  • [Preferred] Experience working with Databricks and Apache Spark

  • [Preferred] Experience working in a customer-facing role