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Night Shift Meta Machine Learning Jobs (NOW HIRING)

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model ...

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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.

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Night Shift Meta Machine Learning jobs near you
Software Engineer (Technical Leadership) - Machine Learning

Software Engineer (Technical Leadership) - Machine Learning

Meta

Redmond, WA

$219K/yr

Full-time

Posted 16 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 is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer (Technical Leadership) - Machine Learning Responsibilities:
  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features and systems in detail
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
  • Lead long term technical vision and roadmap for large cross-company efforts
  • Suggest, collect and synthesize requirements and create an effective feature roadmap
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
  • Experience driving large cross-functional/industry-wide engineering efforts
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
  • Experience communicating and working across functions to drive solutions
  • Experience mentoring/influencing executive stakeholders across organizations
  • 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Preferred Qualifications:
  • Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Masters degree or PhD in Computer Science or a related technical field
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$219,000/year to $301,000/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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