Job Description

Senior Machine Learning Engineer - AdTech

REMOTE

$220,000 - $240,000 + Bonus + Comprehensive Benefits

THE OPPORTUNITY

Join a cutting-edge, rapidly growing advertising technology company that’s on the forefront of transforming the digital marketing landscape. This company has developed an innovative product leveraging AI to deliver real-time, revenue-generating customer insights. As they scale, they’re looking for an exceptional Machine Learning Engineer to drive the next wave of groundbreaking projects, solve complex challenges, and lead impactful initiatives within the adtech space. If you're passionate about the intersection of machine learning and advertising, this is your chance to make a real difference.

WHAT YOU’LL DO

• Own End-to-End ML Projects : Develop and deploy advanced machine learning models that optimize and enhance real-time bidding and auction engines. Take full ownership of the lifecycle of these projects, from inception to deployment.
• Discover Industry Trends : Drive initiatives to uncover valuable trends, patterns, and opportunities within the advertising industry that will directly influence product development.
• Strategic Impact : Play a key role in shaping the company’s ML strategy and contribute to high-level decision-making.
• Cross-Functional Collaboration : Work closely with engineering, product, marketing, and advertising teams to align on objectives and deliver innovative solutions.
• Mentor and Lead : Guide junior team members, provide mentorship, and foster a culture of learning and collaboration within the team. Be the go-to expert for technical leadership and business alignment.
• Be a Thought Leader : Serve as the subject matter expert in machine learning within the business and present insights to stakeholders to drive business outcomes.

WHAT YOU BRING TO THE TABLE

• Advanced Degree : MS or PhD in Computer Science, Statistics, Mathematics, or related STEM fields.
• Extensive Experience : 5-7 years of hands-on commercial experience in machine learning, with a track record of owning and leading projects end-to-end.
• AdTech/MarTech Expertise : Experience within the advertising or marketing technology sectors is a big plus.
• Proven Leadership : A history of leading impactful machine learning projects that directly contributed to revenue growth and operational success.
• Advanced Technical Skills : Expertise in Python (including statistical packages), TensorFlow, PyTorch, or Keras. Experience with real-time bidding (RTB) and auction engines is highly valued.
• Consumer Data Expertise : Ability to work with and understand customer/consumer data to drive insights and model improvements.
• Collaborative and Autonomous : Comfortable taking initiative in autonomous settings while also thriving in collaborative, cross-functional teams.
• Innovative Thinker : Proven ability to bring fresh, outside-the-box thinking to complex problems, especially in fast-paced and evolving environments.

WHAT YOU’LL GET IN RETURN

• Competitive Compensation : Attractive base salary ($220,000 - $240,000), bonus potential, and a robust benefits package.
• Impactful Work : Be part of a company that’s reshaping the AdTech landscape with cutting-edge AI technology.
• Remote Flexibility : Work from anywhere while collaborating with top-tier professionals.
• Growth & Learning : Opportunity to take on leadership roles, mentor others, and expand your skill set within a rapidly scaling company.
• Comprehensive Benefits : Enjoy a generous package that includes health benefits, paid time off, and more.

READY TO JOIN A WINNING TEAM?

If you're ready to lead in the machine learning space and make an immediate impact in the advertising world, we want to hear from you! Click Apply to submit your CV and take the next step in your career.

KEY TERMS :

Data Science | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real-Time Bidding | Auction Engines | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engines | Personalization | Innovation | Thought Leadership | Remote

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