ML Engineering Intern, Summer 2026

About The Role

Join the Content Understanding ML team within Jobfair’s product organization as a summer intern. You will work with senior engineers and data scientists to productionize multi-modal ML systems that extract meaningful metadata from audio, video, image, artwork, and text (including resumes, job descriptions, and pre-interview responses). This metadata powers downstream applications such as matching, ranking, recommendation, segmentation, and product personalization, helping drive impact across candidate discovery and employer workflows.

You will build skills in ML systems, MLOps, and backend/data engineering best practices, collaborating closely with Product, Data Engineering, and other ML practitioners. This opportunity emphasizes turning model work into reliable, measurable, scalable product capabilities.

What You Will Do

• Build and maintain data and inference pipelines for multi-modal inputs (audio/video/text/image)
• Implement training and evaluation workflows that are reproducible (configs, artifacts, versioning)
• Deploy and iterate on model serving (batch and/or real-time) with attention to latency, cost, and reliability
• Collaborate with data engineers to ensure the accuracy, quality, and observability of data and outputs
• Add monitoring and feedback loops (drift, data quality, performance metrics) to improve models over time
• Present methods and outputs effectively using data visualization tools or oral presentations

Required Qualifications & Skills

• Solid Python programming skills
• Strong software engineering fundamentals (clean code, testing, debugging, code reviews)
• Experience with PyTorch/TensorFlow
• Hands-on experience building APIs or services (REST/GraphQL or similar)
• Familiarity with modern LLM APIs and AI tooling (e.g., Huggingface, LangChain, MCPs, or similar)
• Strong ability to build relationships with teammates, business partners, and technical colleagues

Preferred Qualifications & Skills

• Experience with Docker and CI/CD
• Cloud experience (AWS/GCP/Azure) and/or orchestration (Kubernetes)
• Familiarity with model serving (e.g., Triton, TorchServe, TF Serving) and/or workflow tools (Airflow, Prefect)
• Experience with data processing at scale (Spark, Ray)
• Familiarity with fine-tuning techniques like PEFT, LoRA
• Multimodal model experience (e.g., CLIP, ViTs)

Education

Currently enrolled as a college student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field.

Eligibility Requirements & Program Information

Candidates for this opportunity MUST meet all the requirements below:

• Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program
• Be at least 18 years of age
• Possess unrestricted work authorization

Additional Information

The approximate dates of this position are May/June 2026 through August/September 2026

• Must be fully available from Monday–Friday for the duration of the position, 40 hours per week