ZipRecruiter

Log In

1

Temporary Meta Machine Learning Jobs in Colorado

Meta

Network Site Investments Manager

Denver, CO

$162K/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 ...

Meta

Network Engineer, Optical Deployment

Denver, CO

$135K/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 ...

Meta

Network Engineer, Optical Deployment

Denver, CO

$162K/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 ...

BAE Systems USA

Imagery Anst Prin

Sterling, CO · On-site

General experience in Machine Learning (ML) techniques to EO imagery and data to address ... Temporary employees generally are not eligible for BAE Systems benefits, but can elect to ...

Molson Coors

Packaging Temporary Worker

Golden, CO

$24/hr

... machines. You will assist with startups, shut downs, product changes, line trouble shooting ... Ability to grow and develop your career centered around our First Choice Learning opportunities.

Molson Coors

Packaging Temporary Worker

Golden, CO · On-site

$24/hr

... machines. You will assist with startups, shut downs, product changes, line trouble shooting ... Ability to grow and develop your career centered around our First Choice Learning opportunities.

Leinenkugel's

Packaging Temporary Worker

Golden, CO · On-site

$24/hr

... machines. You will assist with startups, shut downs, product changes, line trouble shooting ... Ability to grow and develop your career centered around our First Choice Learning opportunities.

Aerotek

CNC Machinist

Aurora, CO · On-site

$22 - $44/hr

Whether you're learning the trade or mastering it, you'll have opportunities to grow, contribute ... Machine parts to extremely tight tolerances (±.0001) using detailed blueprints * Perform frequent ...

Leinenkugel's

RMBC Temporary Worker

Arvada, CO · On-site

$24/hr

Operate and maintain high-speed inspection machinery * Perform basic preventative maintenance tasks ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Molson Coors

RMBC Temporary Worker

Arvada, CO · On-site

$24/hr

Operate and maintain high-speed inspection machinery * Perform basic preventative maintenance tasks ... Ability to grow and develop your career centered around our First Choice Learning opportunities

Molson Coors

RMBC Temporary Worker

Wheat Ridge, CO

$24/hr

Operate and maintain high-speed inspection machinery * Perform basic preventative maintenance tasks ... Ability to grow and develop your career centered around our First Choice Learning opportunities

next page

Showing results 1-20

People also search for

All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in Colorado

Temporary Meta Machine Learning information

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 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 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 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 most commonly searched types of Meta Machine Learning jobs in Colorado? The most popular types of Meta Machine Learning jobs in Colorado are:
What job categories do people searching Temporary Meta Machine Learning jobs in Colorado look for? The top searched job categories for Temporary Meta Machine Learning jobs in Colorado are:
What cities in Colorado are hiring for Temporary Meta Machine Learning jobs? Cities in Colorado with the most Temporary Meta Machine Learning job openings:
Temporary Meta Machine Learning jobs near you
Network Site Investments Manager

Network Site Investments Manager

Meta

Denver, CO

$162K/yr

Full-time

Posted 19 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 185 rated software companies

Job description

Meta operates one of the largest and most rapidly expanding global network infrastructures in the world, supporting billions of users and powering the next generation of AI-driven applications. The Network Site Investments team is responsible for ensuring that the physical site foundations of Meta's global network remain ahead of unprecedented demand driven by AI workloads and organic growth. In this role, you will lead site acquisition strategy and execution, forge strategic datacenter partnerships, and build the optionality needed to adapt to evolving technology roadmaps across colocation, hyperscale, and greenfield development models.
Network Site Investments Manager Responsibilities:
  • Develop and execute site acquisition strategies from initial market analysis through on-time capacity delivery across colocation, hyperscale, and greenfield development models
  • Negotiate complex, multi-megawatt commercial agreements with datacenter operators, developers, and landlords
  • Conduct market-level research and due diligence to identify, evaluate, and down-select viable network site options aligned to capacity demand signals
  • Own and manage long-term strategic business relationships with datacenter providers to ensure partnership health and continuity
  • Align site investment strategies with Network Infrastructure and capacity planning teams to stay ahead of AI-driven and organic demand forecasts
  • Develop and maintain financial models and investment forecasts to support capital planning
  • Identify and mitigate risks across site acquisition pipelines, including permitting, power availability, fiber access, and commercial terms
  • Contribute to organizational strategy by defining scalable frameworks for site selection and partnership governance across multiple regions
  • Leverage AI tools and workflow automation to reduce manual overhead and accelerate deal analysis and reporting

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of experience in the network and/or datacenter industry with direct involvement in site selection or real estate acquisition
  • Experience negotiating and executing commercial agreements across multiple datacenter models, including colocation facilities and hyperscale campuses
  • Experience developing financial forecasts and investment analyses to support large-scale infrastructure decisions
  • Experience managing cross-functional stakeholder relationships and influencing decisions across technical and business teams
  • Experience identifying and mitigating risks in complex, multi-party infrastructure acquisition processes

Preferred Qualifications:
  • Experience contributing to long-range capacity planning or technology roadmap alignment in a hyperscale or carrier-grade network environment
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with greenfield datacenter developments
  • Familiarity with terrestrial and subsea network architectures and how physical site characteristics affect network design
  • Experience working on multi-megawatt agreements across multiple geographic markets simultaneously

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.
$162,000/year to $227,000/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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply