Senior Machine Learning Engineer

adMarketplace; New York (NY); On-site; USD 170,000 - 240,000; Full time

Job summary

adMarketplace is seeking a Senior Machine Learning Engineer to join their dynamic AI/ML team in New York. The role focuses on developing impactful ad-serving models and search solutions, while also providing opportunities for professional growth and collaboration in a fast-paced environment. Candidates should possess a strong background in machine learning with hands-on experience in deploying production-level systems.

Benefits

Robust healthcare and wellness programs

Paid time off and commuter benefits

401k matching

Summer Fridays

Catered lunches

Qualifications

• 5+ years industry experience in AI/ML and production-level ML systems.
• Proven expertise in building models in ads, relevance, and search domains.
• Experience with distributed frameworks (Spark, Hadoop) and ML packages.

Responsibilities

• Drive end-to-end management of AI/ML projects from concept to deployment.
• Implement best practices in MLOps for model reliability and performance.
• Mentor junior team members and contribute to model architecture decisions.

Skills

Machine Learning

Statistical Learning

Deep Learning

Reinforcement Learning

Data Engineering

Python

Education

PhD in AI/ML

MS in AI/ML

Tools

TensorFlow

PyTorch

SQL

Job description

Our award-winning culture is built around five core values (known as our 5C’s): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower our team to reach their full potential through continued learning, and the opportunity to do their best work.

The Role

We are seeking an experienced Senior Machine Learning Engineer passionate about building impactful products in the search and advertising technology ecosystem. As part of our established AI/ML and Search organization, you will be instrumental in developing and optimizing advanced models to enhance our ultra-low-latency ad-serving platform and consumer-facing search solutions. You will collaborate closely with product, data science, and business teams, significantly contributing to strategic initiatives such as yield optimization, predictive modeling, and improved bidding performance. You will have a clear career progression path and numerous opportunities for both personal and professional growth in an intellectually stimulating and dynamic work environment.

Responsibilities

• Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, and ongoing maintenance.
• Implement and champion best practices in MLOps, including data ingestion, model training pipelines, monitoring, alerting, and QA to ensure model reliability and performance.
• Contribute significantly to model architecture decisions, leveraging state-of-the-art machine learning, deep learning, and reinforcement learning techniques.
• Develop and deploy robust feature engineering pipelines and ML services optimized for low latency and high throughput.
• Establish and utilize robust A/B testing and experimentation frameworks to evaluate and iteratively improve model performance.
• Translate research papers into high-quality, production-ready code.
• Communicate effectively, collaborate, and build long-term relationships across the organization.
• Mentor junior team members in achieving engineering excellence and be a change agent on the team.

Basic Qualifications

• PhD with 5+ years of experience or MS with 5-8+ years of industry experience in AI/ML, developing and deploying production-level ML systems.
• Proven expertise in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search.
• Breadth and depth knowledge of statistical learning, machine learning, and deep learning.
• Experience in building distributed, low-latency, high-throughput batch and online ML services.
• Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks.
• Fluency in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure.
• Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML.
• Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment.

Preferred Qualifications

• 5+ years of experience in building ML models in the ads space or recommender systems.
• Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models.
• Experience in building and deploying online experimentation frameworks to identify right models and features at scale.
• Experience in building ad selection frameworks using reinforcement learning or contextual bandits.
• Experience in fine tuning LLMs or building them from scratch.
• Experience in building products using Generative AI powered autonomous agents.

*Compensation Range: $170,000 - $240,000

#LI-Onsite

Join Us

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow.

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.

No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

*This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.

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