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Twelve Labs
San Francisco, CA, United States
Who we are We’re a fast-moving, diverse team pushing the frontiers of artificial intelligence. At Twelve Labs, our mission is to help developers build programs that can see, listen, and understand the world as we do by bringing the world’s most powerful video understanding infrastructure to market. As a part of achieving this mission, we are build
Job Source: Twelve LabsNiantic
San Francisco, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: NianticNiantic, Inc.
San Francisco, CA, United States
Niantic’s Engineering Team seeks a Software Engineer specialized in Machine Learning Engineering to build platforms that empower engineers and researchers to create innovative user experiences with the emerging Generative AI technologies. Our team powers capabilities across our games, geo-based, and AR platforms through productionizing large scale
Job Source: Niantic, Inc.Meta
Burlingame
**Summary:** Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving
Job Source: MetaQuantum Technologies. LLC
San Francisco, CA, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Software Engineer - Machine Learn
Job Source: Quantum Technologies. LLCWilliams-Sonoma, Inc.
San Francisco, CA, United States
Software Engineer - Machine Learning About the Machine Learning Team At Williams-Sonoma, Inc., we are harnessing the power of data science, machine learning and predictive analytics to better understand the dynamic trends, patterns and anomalies of our business and customer behavior and leverage them to solve complex problems across the enterpris
Job Source: Williams-Sonoma, Inc.ZipLine
San Francisco, CA, United States
About Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world’s most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous deli
Job Source: ZipLineSocotra, Inc.
San Francisco, CA, United States
At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. Data and Machine Learning are at the heart of our products and decision-making. We’re looking for passionate, driven engineers to build systems that empower mac
Job Source: Socotra, Inc.San Francisco, CA, United States
Motive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We’re proud to receive an employee net promoter score of 63 (according to Comparably) which places Motive in the top 5% of companies with 4,000 employees or more.
Today, our team is made up of more than 3,000 employees, located across the world, providing support to a wide range of customers. While most of our employees are remote, many have the opportunity to work on-site at any of our 8 global office locations. Visit our careers website to learn more about opportunities at Motive.
About the Role:
As a Software Engineer - Machine Learning, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improve the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high-caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex machine-learning systems. You will have the opportunity to build and/or improve ML/computer vision systems. Identify where models and algorithms are failing, debug issues, propose solutions, implement, and deploy them on millions of trucks. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
What You’ll Do:
Evaluate and improve the performance of existing models and algorithms already in production
Prototype and implement ML modules for complex AI features
Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform, i.e., the next-gen AI dashcam
Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression, and porting pipelines
Collaborate with cross-functional teams such as Embedded, Backend, Frontend, Hardware, QA, and the broader AI team to ensure the development of robust and sustainable AI systems
Build automated deployment, validation, and active learning pipelines.
What We’re Looking For:
Bachelor’s Degree in Computer Science, Electrical Engineering, or related field. A Master’s degree is a plus.
6+ years of Machine learning and Deep Learning / or Data science experience
Solid mathematical foundation in Deep Learning, Machine Learning, and optimization approaches.
Strong experience in Python or C++
Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
Prior experience with optimizing and deploying ML models on embedded devices is a strong plus
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
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Email Alert for Software Engineer, Machine Learning jobs in San Francisco, CA, United States
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