Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
New
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
New
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
New
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure de.
New
Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...
Experience with Design verification of Data-center applications like Video, Artificial Intelligence/Machine Learning (AI/ML) and Networking designs About Meta: Meta builds technologies that help ...
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 ...
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 ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network ...
Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network ...
Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...
Experience with physical implementation of machine learning accelerators, network-on-chip architectures, or high-bandwidth memory interfaces About Meta: Meta builds technologies that help people ...
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 ...
New
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 ...
New
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 ...
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 ...
Solutions Architect, Scaled Operations AI Accelerator Team
Austin, TX · Remote
$123K/yr
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 ...
Solutions Architect, Scaled Operations AI Accelerator Team
Austin, TX · Remote
$123K/yr
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 ...
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 ...
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 ...
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 ...
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 ...
ASIC Engineer, Design Verification
Austin, TX · On-site +1
$178K/yr
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 ...
ASIC Engineer, Design Verification
Austin, TX · On-site +1
$178K/yr
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Energy Sourcing Manager
Austin, TX · On-site +1
$132K/yr
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 ...
Energy Sourcing Manager
Austin, TX · On-site +1
$132K/yr
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 ...
Scaled Business Growth
Austin, TX · Remote
$161K/yr
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 ...
Scaled Business Growth
Austin, TX · Remote
$161K/yr
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 ...
Temporary Meta Machine Learning information
What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?
Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.
What is the difference between Temporary Meta Machine Learning vs Data Scientist?
| Aspect | Temporary Meta Machine Learning | Data Scientist |
|---|---|---|
| Credentials | Typically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are common | Requires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous |
| Work Environment | Project-based, often contract roles within tech companies, startups, or consulting firms | Full-time or contract roles in various industries including finance, healthcare, and tech |
| Industry Usage | Primarily in tech, AI, and machine learning-focused companies | Widely used across multiple industries including finance, healthcare, marketing, and tech |
Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.
What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?
To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.
What are Temporary Meta Machine Learning jobs?
Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
What are the most commonly searched types of Meta Machine Learning jobs in Texas? The most popular types of Meta Machine Learning jobs in Texas are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Texas? For Temporary Meta Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Texas look for? The top searched job categories for Temporary Meta Machine Learning jobs in Texas are:
What cities in Texas are hiring for Temporary Meta Machine Learning jobs? Cities in Texas with the most Temporary Meta Machine Learning job openings:
$199K - $331K/yr
Full-time
Medical, Dental, Vision, Retirement
Re-posted 12 days ago
Job description
About Neuralink:
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
About the Team:
The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.
About the Role:
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.
Job Responsibilities:
- Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
- Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
- Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
- Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
- Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.
- Experience writing production-level C/C++/Rust and Python
- Proven track record of designing, building, and shipping real-time ML products
- Strong foundation in signal processing, algorithms, and software engineering principles
- Bachelor's degree in relevant field or equivalent experience
Fast forward to 40:32 to learn more about neural decoding:
Expected Compensation:
The anticipated base salary for this position is expected to be within the following range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training. We also believe in aligning our employees' success with the company's long-term growth. As such, in addition to base salary, Neuralink offers equity compensation (in the form of Restricted Stock Units (RSU)) for all full-time employees.
Base Salary Range:
$199,000-$331,000 USD
What We Offer:
Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) *Temporary Employees & Interns excluded
- 401(k) plan *Interns initially excluded until they work 1,000 hours
- Parental leave *Temporary Employees & Interns excluded
- Flexible time off *Temporary Employees & Interns excluded
About NEURALINK
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
201 - 500 Employees
Headquarters location
San Francisco, CA, US
Year founded
2016