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Meta Platforms, Inc.
Redmond, WA, United States
Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.) Job Title: Software Engineer (Machine Learning) Job Code: REQ-2406-139085 Job Location: Redmond, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $246536/year to $290180/year + bonus + equity + benefits. Individual pay is determined by skills, qualifica
Job Source: Meta Platforms, Inc.NewsBreak
Bellevue, WA, United States
About NewsBreak NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nati
Job Source: NewsBreakOverland AI Inc
Seattle, WA, United States
Overland AI builds intelligent uncrewed ground systems for defense and national security. Our autonomy stack, OverDrive, is defining the state-of-the-art for perception, planning, and control of uncrewed vehicles, enabling them to traverse and operate in any terrain, regardless of roads, in any condition. OverDrive was purpose-built for the warfigh
Job Source: Overland AI IncHighspot
Seattle, WA, United States
About The Role Highspot's Science team is chartered with Inventing the Future by developing and using emerging technology, including artificial intelligence, to deliver maximum customer value. As a Principal Engineer you will work end-to-end to identify technical risks and opportunities, deeply understand the problem space, and then invent, prototy
Job Source: HighspotRWE AG
Bellevue, WA, United States
Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Create Alert Software Engineer - Machine Learning Pipelines Location(s): Bellevue, WA, US, WA 98004 RWE Supply & Trading Americas, LLC To start as soon as possible, fulltime, permanent Your future plans We are building our core AI Lab team to explo
Job Source: RWE AGHighspot, Inc.
Seattle, WA, United States
About Highspot Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We believe a great place to work is about more than the work
Job Source: Highspot, Inc.AMD
Bellevue, WA, United States
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinn
Job Source: AMDAMD
Bellevue, WA, United States
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinn
Job Source: AMDBellevue, WA, United States
Employer: Meta Platforms, Inc. Job Title: Software Engineer, Machine Learning Job Code: REQ-2405-138233 Job Location: Bellevue, Washington Job Type: Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday Salary: $207,992.00/year to $240,240.00/year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits {rel="nofollow"}. Duties: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, eg payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, content understanding, sequence-based modeling, or spam detection. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU), and advance SOTA machine learning algorithms if needed. Requirements: Requires a Master's degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems 3. Translating insights into business recommendations 4. Developing and debugging in C, C++, and Java 5. Scripting languages: Perl, Python, PHP, or shell scripts 6. C, C++, C#, or Java 7. Python, PHP, or Haskell 8. Relational databases and SQL 9. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 10. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting 11. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction 12. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems.
To apply, please send resume to the following email address [email protected] & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number: REQ-2405-138233.
Email Alert for Software Engineer, Machine Learning jobs in Bellevue, WA, United States
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