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Night Shift Meta Machine Learning Jobs (NOW HIRING)

Meta

Product Manager, Machine Learning

New York, NY

$173K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta

Product Manager, Machine Learning

Menlo Park, CA

$173K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta

Product Manager, Machine Learning

Bellevue, WA

$173K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

Meta

Product Manager, Machine Learning

Sunnyvale, CA

$173K/yr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and ... Product Manager, Machine Learning Responsibilities: * Display strong leadership, organizational and ...

GPTZero

Machine Learning Intern

New York, NY · On-site

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... This person will implement and develop machine learning models to enhance our platform ...

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All JobsNight Shift Meta Machine Learning Jobs

Night Shift Meta Machine Learning information

Is ML a high paying job?

Machine learning roles, including those working night shifts in meta machine learning, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Compensation varies based on experience, location, and company, but generally, machine learning jobs are among the higher-paying positions in tech fields.

What jobs can I get with AI ML?

With AI and ML skills, you can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and AI Software Developer. These jobs typically require knowledge of programming languages like Python, experience with machine learning frameworks, and understanding of data analysis and algorithms.

Is AI replacing machine learning jobs?

AI is transforming machine learning roles by automating certain tasks, but it also creates new opportunities for professionals skilled in developing, maintaining, and improving AI systems. Machine learning jobs remain in demand, especially for those with expertise in data analysis, model development, and programming tools like Python and TensorFlow. Continuous learning and adapting to new technologies are essential for staying relevant in this evolving field.

What is the salary of machine learning engineer at Meta?

The average salary for a machine learning engineer at Meta is approximately $130,000 to $180,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in deep learning or large-scale data processing may earn higher compensation, often including bonuses and stock options.

What is the difference between Night Shift Meta Machine Learning vs Data Scientist?

AspectNight Shift Meta Machine LearningData Scientist
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with machine learning toolsBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentNight shift, often in tech or AI companies, focusing on model deployment and monitoringDay shift, in various industries, focusing on data analysis, modeling, and reporting
Employer & Industry UsageTech firms, AI startups, companies with 24/7 operationsFinance, healthcare, tech, and research organizations

While both roles involve working with data and machine learning, Night Shift Meta Machine Learning specialists focus on deploying and maintaining models during night hours, often in tech environments. Data Scientists typically work during regular hours, analyzing data, building models, and providing insights across various industries.

More about Night Shift Meta Machine Learning jobs
What cities are hiring for Night Shift Meta Machine Learning jobs? Cities with the most Night Shift Meta Machine Learning job openings:
What states have the most Night Shift Meta Machine Learning jobs? States with the most job openings for Night Shift Meta Machine Learning jobs include:
What job categories do people searching Night Shift Meta Machine Learning jobs look for? The top searched job categories for Night Shift Meta Machine Learning jobs are:
Night Shift Meta Machine Learning jobs near you
Machine Learning Hardware Architect - Silicon

Machine Learning Hardware Architect - Silicon

Meta

Sunnyvale, CA

$212K/yr

Full-time

Posted 6 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies

Job description

Meta’s mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. In this position you will work with Machine Learning Hardware Architects, Digital Designers, and Software engineers to develop custom Machine Learning Hardware accelerators for delivery into multiple SoCs. You will collaborate with a world-class group of researchers and architects to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.
Machine Learning Hardware Architect - Silicon Responsibilities:
  • Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon
  • Lead designs to surpass state of the art for metrics such as compute, bandwidth, and power consumption
  • Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
  • Travel both domestically and internationally

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 12+ years of experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume
  • Experience in Machine Learning IPs Silicon development
  • Experience in digital design µArchitecture, RTL coding
  • Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area
  • Results oriented, proactive with demonstrated creative & critical thinking

Preferred Qualifications:
  • Master/PhD degree in EE/CS or equivalent areas
  • Knowledge of Physical Design and Low power implementation
  • Experience with Firmware, DSP coding and optimization
  • Collaborate and/or lead in a team environment
  • Experience with SoC Architecture and subsystem Integration
  • Knowledge of industry trends and disruptive technologies
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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 accommodations-ext@meta.com.
$212,000/year to $294,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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