Senior Platform Engineer, Machine Learning
Fieldguide188,000 - 213,500 USD/year
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer SoftwareIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience in software engineering, with a focus on machine learning platforms. Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed systems is essential, along with strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch. Familiarity with MLOps principles and practices is highly desirable.
Responsibilities
The Senior Machine Learning Platform Engineer will own or contribute to technical designs for the feature platform, training platform, serving platform, and underlying operational infrastructure, ensuring incremental delivery and impact. They will develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment, establishing best practices in machine learning engineering and MLOps. The role involves collaborating with ML Engineers, Data Scientists, and Product Managers to understand needs and accelerate AI/ML development, mentoring team members, and leading build vs buy discussions on technologies for the AI platform. Additionally, they will contribute to designing an AI platform adhering to responsible AI principles and simplifying privacy compliance.
Skills
Machine Learning
MLOps
AI
ML Engineering
Data Science
Scalability
Operational Excellence
Cost Management
Model Development
Model Deployment
Frameworks
Technical Design
Match Group
Provides online dating and social discovery
About Match Group
Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.
Key Metrics
Dallas, TexasHeadquarters
1986Year Founded
$400MTotal Funding
IPOCompany Stage
Consumer Software, Social ImpactIndustries
1,001-5,000Employees