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Temporary Meta Machine Learning Jobs in Colorado

Meta

Energy Sourcing Manager

Denver, CO · 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 ...

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 ...

Facebook App

Product Manager

Denver, CO

$205K/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 ...

Judge Group, Inc.

Principal AI/ML Engineer

Englewood, CO · On-site

$75 - $80.15/hr

Englewood, CO Duration: 6 Months Temp to Hire Pay: $80.15/hr. on W2 Job Summary We are seeking a ... CI/CD for machine learning * Monitoring and performance tracking * Validation and continuous ...

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

$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

$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.

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

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 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
Energy Sourcing Manager

Energy Sourcing Manager

Meta

Denver, CO • On-site, Remote

$132K/yr

Full-time

Posted 8 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

140th of 215 rated software companies

Job description

Meta's Energy Infrastructure Strategy and Investments team is seeking an experienced energy sourcing professional to lead electricity procurement vendor management for its global data center portfolio. In this role, you will be responsible for commercial energy and clean energy supply to power Meta’s rapidly scaling portfolio of data centers. A good candidate has an interest in helping the team to operate efficiently and effectively and has enthusiasm for identifying gaps and process improvements. This position will play a pivotal role across the energy teams, coordinating vendor management, developing models to support processes and onboarding, and guiding the internal budget.
Energy Sourcing Manager Responsibilities:
  • Lead energy interconnection and service contract management and procurement-related tasks and reporting, including vendor onboarding, direct debit enrollment, purchase order initiation, and invoice and PO tracking and troubleshooting
  • Work with the team to develop capital expense forecasts, track actuals and communicate variance commentary to stakeholders
  • Lead data center energy OPEX tracking, billing setup and troubleshooting
  • Own the relationship with internal contracts and procurement partners. Develop and improve systematic solutions to streamline the procurement and contract processes
  • Collaborate with internal partners on professional service budget tracking, forecasting, and reporting
  • Maintain relationships with finance and other key cross-functional partners
  • Support the tracking and provide updates on energy utility bills
  • Assist with the development and maintenance of internal tools and tracking systems (e.g., SharePoint sites, document libraries, internal dashboards)

Minimum Qualifications:
  • Experienced with high volume utility bills, payment processes, managing complex purchase orders and MSAs
  • 6+ years of experience in energy procurement, energy sourcing, or energy supply strategy within the utility, independent power, or large energy consumer sector
  • Experience building and managing relationships with a variety of cross-functional partners
  • Fluent in contracting and procurement languages, principles, and practices
  • Experienced in data analytics

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Knowledge of behind-the-meter generation, battery storage, or microgrid solutions as components of data center energy supply strategy
  • Experience sourcing energy specifically for data center, hyperscale, or other large-scale critical infrastructure load
  • Experience with renewable energy certificate tracking, carbon accounting, or sustainability reporting frameworks relevant to large energy portfolios

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.
$132,000/year to $188,000/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.

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