Sr Machine Learning Engineer

ESPN; Florida; On-site; USD 137,000 - 184,000; Full time

Job summary

ESPN is seeking a Senior Machine Learning Engineer in Orlando, FL to design, develop, train and deploy scalable ML models and data pipelines. You will own ML components end-to-end, coordinating with data science, data engineering and product teams to deliver reliable production systems.

You will lead model training, evaluation, and inference pipelines, contribute to ML platform direction, and mentor junior engineers. A strong background in ML, MLOps, and cloud services is essential.

Qualifications

• 5+ years of experience designing, training, and deploying ML models in production at scale.
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
• Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
• Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
• Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
• Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
• Experience with Snowflake is required.

Responsibilities

• Owns the design and development of ML models, pipelines, and production ML systems.
• Drives development of ML components through own and other engineers’ work.
• Develops technical solutions that meet specifications and inform future ML initiatives.
• Executes ML development projects and major model improvements.
• Develops specifications for ML components, projects, or model enhancements.
• Reviews and writes code for training, evaluation, and inference pipelines.
• Participates in setting the architectural direction for ML platforms and data infrastructure.
• Designs ML components and develops specifications for each project.
• Builds and leads end-to-end ML workflows from data ingestion to model serving.
• Coordinates with data science, data engineering, and product teams.
• Develops component tasks and ML-specific specs for each project.
• Serves as a high-level technical resource and mentor to junior ML engineers and data scientists.
• Leads team members in problem analysis, model debugging, and issue resolution.

Skills

Python

ML fundamentals

CI/CD for ML

Model evaluation

Feature engineering

Supervised learning

Unsupervised learning

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS SageMaker

EC2

S3

Airflow

Spark

Kafka

Docker

Kubernetes

DynamoDB

Redshift

NoSQL

Snowflake

Job description

Job Posting Title:

Sr Machine Learning Engineer

Req ID:

10154204

Job Description:

The Senior Machine Learning Engineer applies practical knowledge of machine learning, data science, and software engineering to conceive, design, develop, train, and deploy ML models, pipelines, and systems of moderate to high complexity. The Senior Machine Learning Engineer owns the design and development of ML solutions and drives their delivery through their own and other engineers’ work. The Senior Engineer provides technical guidance and acts as a point of escalation and as a machine learning expert. The Senior Machine Learning Engineer designs and develops highly scalable ML systems and data pipelines.

Responsibilities

• Owns the design and development of machine learning models, pipelines, and production ML systems.
• Drives development of ML components through own and other engineers’ work.
• Develops technical solutions that meet specifications and that inform future ML initiatives.
• Executes assigned ML development projects and major model improvements using new or existing technologies.
• Develops specifications for assigned ML components, projects, or model enhancements.
• Reviews and writes code for model training, evaluation, and inference pipelines.
• Participates in setting the architectural direction for ML platforms and data infrastructure.
• Designs specific ML components for assigned projects, developing specifications for each.
• Able to build and lead end-to-end ML workflows from data ingestion through model serving.
• Interacts and coordinates deliverables with data science, data engineering, and product teams across the organization.
• Designs and develops ML system specifications for assigned projects.
• Designs component tasks for assigned projects, developing ML-specific specifications for each.
• Serves as a high-level technical resource and “go-to” person for less experienced ML engineers and data scientists, providing technical guidance and oversight.
• Leads team members in problem analysis, model debugging, and issue resolution.

Basic Qualifications

• 5+ years of relevant experience designing, training, and deploying machine learning models in production environments at scale.
• Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
• Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
• Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
• Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
• Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
• Experience with Snowflake is required.

Preferred Qualifications

• Experience with large-scale recommendation systems, personalization, NLP, or computer vision.
• Experience with real-time ML inference and low-latency serving architectures.
• Familiarity with LLMs and generative AI integration in production systems.
• Experience with Java (e.g., Spring Boot) is a plus.

Required Education

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or similar field, or related work experience.
  The hiring range for this position in California is $144,100 - $193,200 per year, in Washington is $150,900 - $202,400 per year, and in Florida is $137,200.00-$184,000.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Commerce

Primary Job Posting Category:

Machine Learning

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

USA - CA - 1200 Grand Central Ave, USA - CA - Disneyland Service - Bldg 700 Complex, USA - WA - 925 4th Ave

Date Posted:

2026-06-29