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Contract Meta Machine Learning Jobs in Bangor, PA

Aerotek

Maintenance Technician Opening

Bethlehem, PA · On-site

$30 - $31/hr

Install, repair, and maintain plant machinery and industrial equipment across electrical ... learning more about this opportunity apply now!! Job Type & Location This is a Contract to Hire ...

Lowe's

Seasonal Retail Sales Associate

Hackettstown, NJ · On-site

$15.92 - $16.75/hr

Writes customer contracts and invoices for equipment rental and tool repairs (Tool Rental ... Plus, we offer learning and development opportunities to help our associates grow their skills and ...

ProSmile Holdings, LLC

Pediatric Dentist

Phillipsburg, NJ · On-site

$100 - $150/hr

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

Aerotek

1st Shift Welder

Bethlehem, PA · On-site

$20 - $25/hr

The environment supports hands-on learning, allowing you to practice and refine welding techniques ... You will use welding machines, grinders, hand tools, and inspection tools while working around ...

ProSmile

General Dentist

Phillipsburg, NJ · On-site

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

ProSmile

General Dentist

Phillipsburg, NJ · On-site

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

ProSmile

General Dentist

Phillipsburg, NJ · On-site

$120 - $180/hr

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

ProSmile Holdings, LLC

General Dentist

Phillipsburg, NJ · On-site

$150 - $210/hr

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

ProSmile

General Dentist

Phillipsburg, NJ · On-site

Practicing at a comfortable pace while learning to work efficiently and effectively with a flexible ... Neither this nor any other communication creates an employment contract between the Company and the ...

All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Bangor, PA

Contract Meta Machine Learning information

See Bangor, PA salary details

$13

$19

$23

How much do contract meta machine learning jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for contract meta machine learning in Bangor, PA is $19.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $20.38 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

What is the difference between Contract Meta Machine Learning vs Contract Data Scientist?

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What cities near Bangor, PA are hiring for Contract Meta Machine Learning jobs?

Cities near Bangor, PA with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you
Infographic showing various Contract Meta Machine Learning job openings in Bangor, PA as of June 2026, with employment types broken down into 48% Full Time, 50% Part Time, and 2% Temporary. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $39,601 per year, or $19 per hour.

Data Analytics w/ Data Bricks - HYBRID

André Global, Inc.

Bethlehem, PA • On-site

$113K - $135K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

This is a contract-to-hire position with our Insurance client.
  • Must be strong on SQL, Python and Databricks
  • Will undergo 1 hour live coding exercise during the interview

Location: Bethlehem, PA. Resource will be required to work onsite a minimum of 3 days per week in the Bethlehem, PA office. Local candidates preferred. If your candidate is not local to Bethlehem, they will be required to relocate and work onsite from Day 1.
You will:
• Collaborate with data scientists and analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions.
• Support data discovery & data preparation for model development. Perform detailed analysis of raw data sources by applying business context and collaborate with cross-functional teams to transform raw data into curated & certified data assets to be used for ML and BI use cases.
• Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference.
• Implement machine learning models into operations and processes via batch, streaming and API methods.
• Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.
• Develop, test, and maintain robust tools, frameworks, and libraries that standardize and streamline the data & machine learning lifecycle.
• Contribute to developing and maintaining end-to-end MLOps lifecycle to automate machine learning solutions development and delivery.
• Implement robust monitoring framework for model performance.
• Collaborate with cross-functional teams of Data Science, Data Engineering, business units and various IT teams.
• Create and maintain effective documentation for project and practices ensuring transparency and effective team communication.
You Have:
• Bachelor's or master's degree with 5+ years of experience in Computer Science, Data Science, Engineering, or a related field.
• 4+ years of experience in working with Python, SQL, PySpark and bash scripts. Proficient in software development lifecycle and software engineering practices.
• 2+ years of hands-on experience in using Databricks platform
• 3+ years of hands-on experience in operationalizing Machine Learning solutions which are used in live production processes.
• 2+ years of experience and proficiency in API development using FastAPI frameworks and familiarity with containerization technologies like docker or Kubernetes.
• 3+ years of experience in developing and maintaining robust data pipelines data to be used by Data Scientists to build ML Models.
• 3+ years of experience working with Cloud Data Warehousing (Redshift, Snowflake, Databricks SQL or equivalent) platforms and experience in working with distributed framework like Spark.
• Solid understanding of machine learning life cycle, data mining, and ETL techniques.
• Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn, xgboost).
• Hands-on experience in building and maintaining tools and libraries which have been used by multiple teams across organization.
• Proficient in understanding and incorporating software engineering principles in design & development process.
• Hands on experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Github, Bitbucket), Orchestration (Airflow, Prefect or equivalent)
• Excellent communication skills and ability to work and collaborate with cross functional teams across technology and business.
Good to have:
• Familiarity with deep learning frameworks and deploying deep learning models for production use cases.
• Familiarity in using GPU compute either for model training or inference.
• Understanding of Large language models (LLM) and MLOps lifecycle for operationalizing LLM models.

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