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Temporary Meta Machine Learning Jobs in Georgia (NOW HIRING)

Georgia Tech

Lecturer

Atlanta, GA · On-site

Apply for Job Job ID 299195 Location Atlanta, Georgia Full/Part Time Full-Time Regular/Temporary ... Machine Learning. Specifically, we are seeking an individual who is invested in engineering ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Georgia Tech

Senior Research Scientist

Atlanta, GA · On-site

$94K - $120K/yr

Apply for Job Job ID 300358 Location Atlanta, Georgia Full/Part Time Full-Time Regular/Temporary ... and support research in machine learning theory, including optimization and robustness in ...

Truist

Card Fraud Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Truist

Decision Science Manager

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Using advanced tools such as machine learning and generative AI (including large language models ...

Truist

Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Truist

Data Scientist II

Atlanta, GA · On-site

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ...

Merican

Senior Cloud and AI Architect

Atlanta, GA · On-site

Temporary Assignment Work Type: Onsite Plans and schedules team resources, status reporting and ... Strong technical expertise in machine learning, deep learning, and natural language processing.

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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?

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely 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 Georgia? The most popular types of Meta Machine Learning jobs in Georgia are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Georgia? For Temporary Meta Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Georgia look for? The top searched job categories for Temporary Meta Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Temporary Meta Machine Learning jobs? Cities in Georgia with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Lead Development Engineer-Cooper Lighting Solutions

Lead Development Engineer-Cooper Lighting Solutions

Signify

Atlanta, GA • On-site

$98K - $129K/yr

Full-time

Posted 14 days ago

Job description

Job Summary:
Signify is a leader in connected lighting and the Internet of Things, focusing on data analytics and smart solutions. The Lead Development Engineer will oversee technical review processes and ensure best practices in software development, while collaborating with various teams to enhance product design and functionality.
Responsibilities:
• Liaise with Cybersecurity Team and ensure that security and quality assurance best practices are followed throughout the entire software development life cycle.
• Responsible for utilizing industry standards and best practices to create and validate secured software architectures.
• Work within standard protocols to design usage in our products and support the intended functionality.
• Document and review these protocol decisions including coding proof of concept and assessment code and provide training and support for the developers to use them.
• Oversee the adoption of best-in-class software engineering practices, frameworks, and tools.
• Provide guidance and feedback to other software developers.
• Coordinate with the development team to ensure the infrastructure is in place and as per project need.
• Guide the design of gateway application solutions, interfaces, and protocols within the broader application ecosystem.
• Plan the technical architecture analysis, design for projects, architect the integration across application teams, and infrastructure, as well as coordinate with the development team to ensure the infrastructure is in place and that it meets project needs.
• Work closely with our product managers, marketing managers and software developers to provide guidance and recommendations regarding the design of applications, hardware, network products, and security requirements while using approved integration methods.
• Work with end users, customers, system integrators and regional marketing leaders to understand their goals and pain points, translate into requirements, and develop products using machine learning, data visualizations and decision support systems to help stakeholders meet their goals.
Qualifications:
Required:
• Bachelor’s degree in Mechanical Engineering, Computer Engineering, Electrical Engineering, related Engineering disciplines, or a closely related field and 5+ years of related experience required.
• 3+ years of experience must include: Light Engine Algorithm; Common API (CAPI definition); End-to-end system architecture, product interfaces and software design; JSON Based Object modelling for product interface; Lighting Gateway Architecture of Connected Lighting; Wireless and Wired protocols communication protocol for connected lighting which include proprietary protocol or proprietary extension of standard protocols, ZigBee, DALI, ebus, RESTFul APIs, WebSocket, MQTT, LightLEEDer, DMX, KiNet; Cyber Security Standard, Algorithm, Code Signing and tools; Yocto Project based build system with ownership of meta-oem layer.
• Must be legally authorized to work in the United States without current or future company sponsorship needs
Company:
Signify provides lighting products and systems for homes and professional segments It is a sub-organization of Philips. Founded in 1891, the company is headquartered in Amsterdam, NLD, with a team of 10001+ employees. The company is currently Late Stage.
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About Signify US

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Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

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