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Temporary Meta Machine Learning Jobs in Texas (NOW HIRING)

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

... Claude, Meta Llama, or similar. * Prompt Engineering: Expertise in designing, testing, and ... Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging ...

HEB

Manager of Data Science - pXI

San Antonio, TX · On-site

$168K/yr

... machine learning in a heterogeneous domain environment - Experience managing data science teams ... learning, meta-Learning, federated learning - Advanced presentation, solution-selling, and ...

HEB

Manager of Data Science - pXI

San Antonio, TX

... machine learning in a heterogeneous domain environment - Experience managing data science teams ... learning, meta-Learning, federated learning - Advanced presentation, solution-selling, and ...

coty

Outils & technologies (IA / Machine Learning) : * Prise en main et utilisation d'un outil de Demand ... temps réel. Immersion dans le marché de la Beauté sur un portefeuille de produits attractifs ...

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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.
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Temporary Meta Machine Learning jobs near you
AI Integration Intern

AI Integration Intern

On-Target Supplies & Logistics

Dallas, TX

Other

Posted 19 days ago

Job description

Company Overview

OTSL is regional logistics management firm with global customers and international responsibilities.

For decades, OTSL has served as a trusted regional logistics partner to customers with global footprints. Our customers are scaling rapidly, expanding into new markets, and asking us to take on a broader range of responsibilities.

A Company in Transition and a Place Where Careers Can Accelerate

There is a unique window right now for new talent to step in, learn from a deeply experienced group, and become part of shaping what OTSL becomes next. For the right person, this is the kind of environment where careers move quickly. Where the path to leadership isnt blocked by layers of hierarchy. Where exposure isnt something you wait for its part of your daily rhythm.

At OTSL, you don't sit siloed in your function. You work alongside cross-functional teams. You solve problems that affect the whole business. And you collaborate directly with Executive leadership to bring strategy to life. That kind of access is rare. And its intentional.

Position Overview

Artificial Intelligence implementation and integration at operating levels in the organization to include but not limited to Logistics, Human Resources and Administrative initiatives.

Essential Functions

  • Retrieval Augmented Generation (RAG) architecture
  • Machine Learning Deep Learning
  • Large Language Models (LLM) Meta Llama
  • GPT OpenAI
  • Artificial Neural Networks
  • Generative AI
  • Other duties as assigned

Minimum Qualifications

  • Senior Undergraduate or Graduate Student
  • Computer Science or related degree plan
  • Open to CPT or OPT candidates
  • Strong written and verbal communication skills
  • Available to work a minimum of 20 hours a week
  • No remote work available

Internship with an opportunity for full-time employment

Apply