Senior Machine Learning Engineer

About Our Client:

The organization operates in the live events and ticketing industry, a space valued at approximately $300 billion. It addresses challenges in how fans discover and purchase tickets, how pricing and inventory are optimized, and how fraud is prevented in the marketplace. By leveraging technology and a fan-focused approach, the program aims to modernize and simplify ticketing for performers, venues, and fans. Its solutions impact millions of users and integrate complex machine learning systems at scale to enhance the overall consumer experience.

About the Opportunity:

The Senior Machine Learning Engineer role focuses on developing and deploying scalable machine learning models and infrastructure that directly influence ticket discovery, pricing optimization, personalization, and fraud prevention. This position bridges research and production, working closely with cross-functional teams to translate experimental models into reliable, business-driving systems. The role contributes significantly to improving system performance and user experience within the ticketing platform.

Responsibilities:

• Design, build, and deploy machine learning models and systems operating reliably at scale in production
• Develop and maintain ML infrastructure such as feature stores, model serving platforms, and real-time inference pipelines
• Collaborate with data scientists, product managers, and software engineers to convert research models into production-ready solutions
• Address technical challenges including real-time pricing, demand forecasting, and fraud detection specific to the ticketing industry
• Create automated ML pipelines for training, validation, deployment, and monitoring following MLOps best practices
• Advocate for ML capabilities across teams and integrate them into the core product offerings

Requirements:

• Experience building and deploying machine learning systems in production environments with demonstrated business impact
• Minimum 4 years in software engineering, including at least 2 years focused on machine learning systems and MLOps
• Proficient in Python and familiar with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with cloud platforms and containerization technologies
• Knowledge of batch and real-time ML systems, including model serving, A/B testing, and performance monitoring
• Strong software craftsmanship with high standards for code quality
• Product mindset considering user experience, business impact, and system reliability beyond model accuracy
• Ability to work effectively with diverse teams and contribute to mentoring and learning environments

Pay Range and Compensation Package:

• The salary range for this role is $145,000 - $209,000 USD
• This role is equity eligible
• Actual compensation packages within that range depend on skills, experience, certifications, and location

Benefits & Perks:

• Equity stake
• Flexible work environment with options ranging from full remote to office presence
• Work-from-home stipend for office setup
• Unlimited paid time off
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25,000 for family building, reproductive health, and gender-affirming care
• $500 annually for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 monthly allowance for live event tickets
• Annual subscription to Spotify, Apple Music, or Amazon Music

Equal Opportunity Statement:

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company's career page or ATS.