
PamTen Inc
Hybrid in San Francisco, California • Today
Easy Apply
Third Party, Contract
Depends on Experience
78 results (1 new)

PamTen Inc
Hybrid in San Francisco, California • Today
Easy Apply
Third Party, Contract
Depends on Experience





Atlassian Inc.
Remote or San Francisco, California • Today
Full-time
USD 206,100.00 - 269,075.00 per year

















AppFolio, Inc.
Remote or Santa Barbara, California • Today
Full-time
USD 167,200.00 - 229,900.00 per year


Key Responsibilities:
· Design, develop, train, evaluate, and deploy production-grade machine learning and deep learning models for computer vision applications.
· Build end-to-end machine learning pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
· Train deep neural networks from scratch on large-scale image datasets and optimize model architectures for accuracy, latency, scalability, and robustness.
· Develop computer vision solutions for image classification, object detection, segmentation, localization, image similarity, and feature extraction.
· Own the complete machine learning lifecycle, including experiment design, hyperparameter optimization, model versioning, model registry, reproducible training pipelines, and model performance monitoring.
· Design and optimize distributed training pipelines utilizing multiple GPUs and efficiently process large-scale datasets.
· Evaluate model performance using statistical methods, rigorous experimentation, and business-centric success metrics.
· Apply model explainability techniques to validate, interpret, and communicate model predictions.
· Build scalable training and inference pipelines using AWS SageMaker and other cloud-native services.
· Collaborate closely with Product Managers, Data Scientists, Machine Learning Engineers, Software Engineers, Data Engineers, QA teams, domain experts, and business stakeholders to deliver production-ready AI solutions.
· Drive continuous model improvements through hypothesis-driven experimentation, error analysis, performance optimization, and data-driven decision making.
· Lead and mentor Machine Learning Engineers, Data Scientists, and Software Engineers.
· Provide technical direction, establish engineering best practices, conduct architecture and code reviews, and drive execution of large-scale machine learning initiatives.
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San Francisco, California
•
Today
Job Title: Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent applications. In this role, you will develop advanced algorithms, implement natural language processing (NLP) solutions, and streamline the end-to-end model lifecycle from research to production. This is a hands-on technical role where you will leverage your expertise in supervised/unsupervis
Full-time
USD 118,600.00 - 129,000.00 per year
Remote or San Francisco, California
•
Today
Overview Atlassian is looking for a Senior Machine Learning Engineer to join our Search & Intelligence organization. We build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian's AI products. Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire peo
Full-time
USD 206,100.00 - 269,075.00 per year
San Francisco, California
•
Today
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation pla
Full-time
USD 140,800.00 - 176,000.00 per year
Remote or San Francisco, California
•
Today
Overview Working at Atlassian Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Principal Machine Learning Engineer in the Confluence AI organization, you will help shape the next generation of AI-powered experiences across Confluence. This is a hands-on principal-leve
Full-time
USD 236,700.00 - 309,025.00 per year