Senior Machine Learning Engineer

The Team:

We are looking for a Senior / Lead Machine Learning Engineer to join our Data team in New York City, NY. Your role will include a combination of developing models and tools to be deployed into production systems and defining frameworks to measure and improve data quality standards. This is an IC position, but will require you to collaborate with the Data team as well as with various technical and nontechnical team across our organization. Your work will directly impact the future of our Music and Film & TV products. 

The Role:

• Design, develop, and deploy machine learning models for various applications, including but not limited to predictive analytics, anomaly detection, knowledge fusion, NLP, and computer vision.
• Collaborate with data scientists and product teams to understand business needs and translate them into machine learning solutions.
• Optimize and scale machine learning models for production use, ensuring they meet performance and reliability standards.
• Implement and maintain machine learning pipelines, including data collection, preprocessing, model training, and evaluation.
• Stay up-to-date with the latest advancements in machine learning and AI technologies, and integrate new techniques into existing projects.
• Document and communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Who you are:

• Bachelor's degree in Computer Science, Machine Learning, or a related field. An MS or PhD is a plus.
• 8+ years as a Machine Learning Engineer or in a similar role, with experience in large-scale Machine Learning/AI/LLM projects.
• Proficiency in Python and SQL. Experience with Java or C++ is a plus.
• Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with machine learning frameworks and libraries such as PyTorch, scikit-learn, TensorFlow, etc.
• Strong background in mathematics and statistics, particularly in areas relevant to machine learning.
• Familiarity with cloud platforms (primarily AWS and Snowflake) and containerization (Docker, Kubernetes) for deploying scalable ML solutions.
• Strong problem-solving skills and the ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

We would be over the moon if you have experience or skills specifically in:

• • Experience in a specific domain such as NLP, LLM, Knowledge Graph, Anomaly Detection, etc.
  • Knowledge of MLOps practices and experience with CI/CD pipelines.
  • Experience with evaluation techniques for machine learning models.
  • Contributions to open-source projects or research publications in the field of machine learning.

What makes us shine:

• Our People! We are music fans and gamers, film buffs and social scrollers, technologists and subject matter experts, scientists and developers and analysts who take immense pleasure in making sense of the data that drives entertainment, so everyone can get paid and more art can be made. That’s why we do what we do. 
• 100% paid for Medical / Dental / Vision Insurance, 401K with matching, and Employee Assistance Program (EAP)
• Hybrid Work - 4 In-Office Working days (Monday, Tuesdays, Wednesdays, Thursdays) with flexibility to WFH when needed
• Flexible Time Away / Time Off - You are empowered to do the things you enjoy outside of work too
• Community! - Participate, create, or develop our employee clubs, affinity groups and 2% Volunteen initiative which allows you to take paid time off to volunteer within your community
• Family Planning Assistance and Parental leave for all partners
• LGBTQ+ medical benefits and more!

For candidates based in NYC: Our base salary range for this position is $165,000 - 255,000. We consider your skills and experience, what similar jobs pay at companies of our size, and ensure fair pay among colleagues. Final base salary offer amounts are determined by factors including your experience, skills, and expertise. In addition we are proud to offer additional perks and benefits that contribute and complete our total compensation package.  Luminate reserves the right to change our compensation bands at any time.

Additionally, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PMC is committed to the health and wellness of our employees. As part of our company-wide rollout of PMC’s paid healthcare plan, for this role the company pays 100% of the monthly health, dental and vision plan premiums for the employee and their family. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.