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HP
Sacramento, CA, United States
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $147,950 -- $227,850 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location a
Job Source: HPNelnet
Sacramento, CA, United States
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, ass
Job Source: NelnetRandstad
Folsom, CA, United States
machine learning engineer. folsom , california posted 6 days ago job details summary $60 - $80 per hour contract bachelor degree category computer and mathematical occupations reference1056348 job details job summary: Randstad Digital is looking for an outstanding ML Engineer for a long term cotnract based out of San JOse, California. T
Job Source: RandstadCVS Health
Sacramento, CA, United States
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that h
Job Source: CVS Health11:59
Sacramento, CA, United States
Job Type Full-time Description About 11:59 We are 11:59, a professional services firm that helps forward-thinking public and commercial sector clients unlock the full potential of their transformation and modernization efforts. With a team led by former Big 4 Consulting Executives, we bring the Art of the Possible to life, delivering unbiased s
Job Source: 11:59Randstad USA
Folsom, CA, United States
job summary: Randstad Digital is looking for an outstanding ML Engineer for a long term cotnract based out of San JOse, California. The ideal candidate will be experienced with AI/ML, be able to develop and analyze AI models that can be run on Mobile systems. You will contribute to the development of new architectures and products location: FOLSOM
Job Source: Randstad USANelnet
Sacramento, CA, United States
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, ass
Job Source: NelnetNelnet
Sacramento, CA, United States
Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across th
Job Source: NelnetSacramento
**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 beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.
**Required Skills:**
Software Engineer, Machine Learning (REMSWE15) Responsibilities:
1. Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
2. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g.payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
3. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
4. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
5. 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.
6. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
7. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
8. Telecommute from anywhere in the U.S. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
9. Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and two years of work experience in the job offered or in a computer-related occupation.
10. Requires two years of experience in the following:
11. 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow
12. 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
13. 3. Translating insights into business recommendations
14. 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark
15. 5. Developing and debugging in C, C++, and Java
16. 6. Scripting languages: Perl, Python, PHP, or shell scripts
17. 7. C, C++, C#, or Java
18. 8. Python, PHP, or Haskell
19. 9. Relational databases and SQL
20. 10. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
21. 11. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
22. 12. Build highly-scalable performant solutions
23. 13. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
24. 14. 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
25. 15. Distributed systems.
**Public Compensation:**
$207,992/year to $240,240/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
Email Alert for Software Engineer, Machine Learning (REMSWE15)_ jobs in Sacramento
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