Engineering Manager, Machine Learning

Key Skills

AI technology, Analytical and Problem solving, Business Analytics, Business Development, Data science techniques, Debugging, Deep Learning, Effective communication skills, Flight Data Monitoring-FDM, Framework, High performance computing- HPC, Large scale deployment, Leadership, Leadership Skill, Machine learning techniques, Management, Mentoring, Product Management, Project management, PyTorch, Software Development, TensorFlow

Job Description

Madhive is the leading tech company engineered for modern TV advertising. Advertisers seamlessly customize and automate the OTT buying process into an operating system with our self-service platform. Powered by our industry-leading bidder and device graph that processes 260 billion available ad opportunities per day, we deliver precise, brand-safe, audience connections efficiently at scale.

As we continue to push the boundaries of technology, we seek a dynamic and experienced Machine Learning Engineering Manager to build and lead a team of skilled ML engineers to leverage cutting-edge AI technology for our adtech business.

You will have a crucial role in developing machine learning models and addressing infrastructure needs for the company. You will work closely with the Product and Engineering teams and play a key role in conceiving, designing, and implementing end-to-end ML solutions. This is a strategic role where you can combine big-picture thinking with hands-on work, balancing people management, technical oversight, and cross-functional leadership.

What you’ll do:

• Grow and lead a team of machine learning engineers, fostering a collaborative and innovative work environment.
• Collaborate with product management and executive team members to identify AI application opportunities and influence team and company roadmap.
• Provide technical guidance, support, and mentorship to team members, helping them grow in their roles.
• Maintain a hands-on role in machine learning model development and contribute to coding, debugging, and problem-solving.
• Collaborate closely with the team on technical challenges and provide hands-on support as needed.
• Oversee the end-to-end development and deployment of machine learning models, ensuring projects are delivered on time and within scope.
• Collaborate with cross-functional teams to define project goals, requirements, and success criteria.
• Develop and execute the technical roadmap for machine learning projects, aligning with overall company objectives.
• Stay current with industry trends and advancements in machine learning to inform the company's technical strategy.
• Collaborate effectively with product managers, data scientists, and other stakeholders to understand and translate business requirements into technical solutions.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Establish and enforce best practices for machine learning model development, deployment, and monitoring.
• Ensure the reliability, scalability, and maintainability of machine learning systems.
• Play a key role in recruiting and building a high-performing machine learning engineering team.
• Participate in the hiring process, conducting interviews and evaluating potential candidates.
• Demonstrate thought leadership through research contributions, publications, and engagements in industry forums.

Who you are:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science or a related field.
• 8+ years of experience in software engineering, including 3-5 years in Machine Learning
• 3+ years of experience in a leadership or management role.
• Strong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with deploying and maintaining machine learning models in production environments.
• Demonstrated ability to lead and inspire a team of machine learning engineers.
• Excellent communication and interpersonal skills.
• Proven ability to maintain hands-on technical contributions while managing a team.
• Strong coding and debugging skills in machine learning-related technologies.
• Proven ability to analyze complex problems, make informed decisions, and drive solutions.
• Ability to thrive in a fast-paced, dynamic work environment and adapt to changing priorities.

The approximate compensation range for this role is $240,000-$300,000. The actual offer, reflecting the total compensation package and benefits, will be determined by several factors, including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.