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Urgent! Machine Learning Engineer, Level 5 Job Opening In Palo Alto – Now Hiring Snap Inc.
Snap Inc (https://www.snap.com/en-US/) is a technology company.
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company’s three core products are Snapchat (https://www.snapchat.com/) , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio) , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/) .
Snap Inc (https://www.snap.com/en-US/) is a technology company.
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company’s three core products are Snapchat (https://www.snapchat.com/) , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio) , an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses, Spectacles (https://www.spectacles.com/) .
Snap Engineering (https://eng.snap.com/) teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day.
We’re deeply committed to the well-being of everyone in our global community, which is why our values (https://eng.snap.com/values) are at the root of everything we do.
We move fast, with precision, and always execute with privacy at the forefront.
We’re looking for a Machine Learning Engineer to join Snap Inc!
What you’ll do:
+ Create models which help drive value for users, advertisers, and our company
+ Evaluate the technical tradeoffs of every decision
+ Perform code reviews and ensure exceptional code quality
+ Build robust, lasting, and scalable products Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
+ Strong understanding of machine learning approaches and algorithms
+ Able to prioritize duties and work well on your own
+ Ability to work with both internal and external partners
+ Skilled at solving open ambiguous problems
+ Strong collaboration and mentorship skills
Minimum Qualifications:
+ Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
+ 5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
+ Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred Qualifications:
+ Advanced degree in computer science or related field
+ Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
+ Experience working with machine learning, ranking infrastructures, and system design
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .
Default Together Policy at Snap: At Snap Inc.
we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration.
To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate.
Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
Our Benefits (http://careers.snap.com/benefits) : Snap Inc.
is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms.
Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position.
The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.
The starting pay may be negotiable within the salary range for the position.
These pay zones may be modified in the future.
Zone A (CA, WA, NYC) (https://careers.snap.com/us-payzones) :
The base salary range for this position is $209,000-$313,000 annually.
Zone B (https://careers.snap.com/us-payzones) :
The base salary range for this position is $199,000-$297,000 annually.
Zone C (https://careers.snap.com/us-payzones) :
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.
**A Decade of Snap (https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp)** **:** Learn about our origin story, values, mission, culture of innovation, and more.
**CitizenSnap (https://citizen.snap.com/)** **:** In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
**The DEI Innovation Summit (https://actreport.com/dei-innovation-summit-2022/)** **:** Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
**Snap News (https://newsroom.snap.com/)** **:** Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf)
✨ Smart • Intelligent • Private • Secure
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Palo Alto, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Palo Alto, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11037 jobs in United States and 29 jobs in Palo Alto. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Snap Inc. is currently hiring and seeking a Machine Learning Engineer, Level 5 to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer, Level 5 Jobs Palo Alto.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Snap Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer, Level 5 Jobs United States varies, but the pay scale is rated "Standard" in Palo Alto. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer, Level 5 typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer, Level 5, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer, Level 5 interview at Snap Inc., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Snap Inc.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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