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Temporary Meta Machine Learning Jobs in Connecticut

We're committed to making a positive impact on the world, providing you with diverse learning and ... Temporary Part/Full Time, targeting 40 hours per week * Exact start and end dates are flexible ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... Temporary Part/Full Time, targeting 40 hours per week * Exact start and end dates are flexible ...

If you enjoy working with your hands, learning new skills, and being part of a team that builds ... Operate production equipment and machinery with full training provided * Assemble, inspect, and ...

If you enjoy working with your hands, learning new skills, and being part of a team that builds ... Operate production equipment and machinery with full training provided * Assemble, inspect, and ...

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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 Connecticut? The most popular types of Meta Machine Learning jobs in Connecticut are:
What are popular job titles related to Temporary Meta Machine Learning jobs in Connecticut? For Temporary Meta Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in Connecticut look for? The top searched job categories for Temporary Meta Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Temporary Meta Machine Learning jobs? Cities in Connecticut with the most Temporary Meta Machine Learning job openings:
Manufacturing Intern

Manufacturing Intern

Marmon

East Granby, CT

$23/hr

Full-time

Posted 19 days ago


Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

RSCC Wire & Cable LLC

As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.

A Summer Experience. A Lifetime of Value.

We'll meet you where you are and help you go further. This summer, we're committed to bringing early-in-career talent together, trusting you to own your work and help you level up through professional development, networking, and exposure to real-world projects.

We're doing things that matter. Our wire and cable power our world. Join us as an intern and we'll help you move up and around Marmon's 120+ companies as you grow your skills.

Join the Biggest Small Business You'll Ever Find.

Marmon Industrial Energy & Infrastructure (MIEI) works with six specialty wire, cable, and tubing solution manufacturing companies located throughout North America. We have over 100 years of innovative engineered solutions for critical, industrial, and commercial applications. As part of Marmon, you get the best of both worlds. The strength and stability that comes with being part of Berkshire Hathaway, plus the autonomy and opportunity that comes with working at one of our 120+ companies.

What You'll Do:

As a Manufacturing Intern, you will gain hands-on experience working directly in our state-of-the-art manufacturing environment. You'll assist in production processes, assembly, and quality checks, helping to ensure efficient and accurate operations. The internship offers exposure to equipment operation, workflow optimization, and cross-functional teamwork with departments such as Quality, Production Planning, and Engineering.

Throughout the internship, you will learn about manufacturing processes, gain experience with operational systems, and contribute to projects that improve production efficiency and quality. You will develop practical skills in problem-solving, process monitoring, and teamwork, while making meaningful contributions to the day-to-day operations of the facility.

What You'll Need:
  • Currently entering Sophomore year or higher in a related program

  • Basic computer literacy

  • Strong attention to detail and willingness to follow instructions

  • Ability to work safely in a manufacturing environment and adhere to PPE guidelines

  • Strong communication and teamwork skills

  • Basic problem-solving and critical-thinking abilities

Compensation:
  • $21-$23 per hour, commensurate with relevant experience and educational background

Work Hours/Length of Program:
  • The internship will run for 12 weeks from May to August

  • Temporary Part/Full Time, targeting 40 hours per week

  • Exact start and end dates are flexible based on school schedules and the needs of the business

  • This is a paid internship

Working Conditions and Physical Demands:

This position is based in our manufacturing facility and involves working in a manufacturing environment/general exposure to a manufacturing environment. The environment may involve exposure to noise, temperature fluctuations, or other factors. Employees are required to abide by PPE guidelines when onsite.

  • Regular walking, standing, and some sitting for extended periods

  • May involve stooping, kneeling, or crouching

  • May involve lifting or moving items up to 50 pounds

  • Ability to operate and work around machinery safely

  • Successful completion of a drug screening and a physical exam are required for this role

Location:

East Granby, Connecticut - Onsite

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.

We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.


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