Senior ML Engineer, Vision & Multimodal (Remote US)

Jobgether; United States; Remote; USD 134,000 - 168,000; Full time

Benefits offered by this job

Remote work within the United States

Bonus opportunities and equity

Benefits package

Full-time employment

Opportunity to work on cutting-edge ML

Possible gaming license considerations

Job summary

Jobgether is seeking a Senior Machine Learning Engineer based in the United States to design, train, and scale computer vision and multimodal models that drive accurate customer experiences. You will lead model development from experimentation to production, building robust data pipelines and evaluation frameworks for reliable performance.

You will deploy models on scalable cloud infrastructure, enabling real-time processing and cross-functional collaboration with Engineering and Fulfillment

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or equivalent practical experience.
• At least 3 years of experience in machine learning engineering.
• Proven experience deploying ML models in production environments.
• Strong proficiency in Python and software engineering best practices.
• Hands-on experience with computer vision, multimodal models, or vision-language models.
• Familiarity with PyTorch, Hugging Face Transformers, PEFT, or vLLM.
• Experience with model fine-tuning, prompt design, evaluation, and image processing tools such as OpenCV.
• Experience with Google Cloud or cloud ML platforms.
• Familiarity with Docker, Kubernetes, GitHub Actions, Datadog.
• Strong ownership, analytical thinking, and ability to lead complex initiatives.
• Excellent communication and collaboration skills across teams.
• Familiarity with Kotlin/Java or protobuf is a plus.
• Experience in lottery, gaming, fintech or regulated industries is a plus.

Responsibilities

• Design, train, and optimize computer vision and multimodal ML models.
• Fine-tune and evaluate multimodal models using techniques like LoRA.
• Build scalable data pipelines for model training and evaluation.
• Develop robust evaluation frameworks and performance metrics.
• Deploy and manage models on scalable cloud infrastructure with monitoring.
• Integrate models into real-time processing systems (OCR, barcode decoding).
• Collaborate with cross-functional teams to improve workflows and systems.
• Promote engineering excellence via code reviews and automated testing.
• Contribute to team data infrastructure improvements.

Skills

Python programming

Analytical thinking

Problem solving

Strong communication

Education

Bachelor's degree in CS/Engineering/Math/Data Science

Tools

PyTorch

Hugging Face Transformers

PEFT

vLLM

OpenCV

Docker

Kubernetes

GitHub Actions

Job description

Jobgether is seeking a Senior Machine Learning Engineer based in the United States to design, train, and scale computer vision and multimodal models that drive accurate customer experiences. You will lead model development from experimentation to production, building robust data pipelines and evaluation frameworks for reliable performance.

You will deploy models on scalable cloud infrastructure, enabling real-time processing and cross-functional collaboration with Engineering and Fulfillment