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Temporary Meta Machine Learning Jobs in New Jersey

EDETEK, Inc.

Director of AI

Jersey City, NJ · On-site

$130 - $180/hr

Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text ... Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine ...

EDETEK

Director of AI

Jersey City, NJ · On-site

Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text ... Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine ...

EDETEK

Director of AI

Jersey City, NJ · On-site

Expertise in transfer learning, unsupervised feature generation, meta-learning, generative text ... Advanced data science and mathematical skills (e.g., PhD in computational modeling, machine ...

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All JobsMeta Machine Learning JobsTemporary Meta Machine Learning JobsTemporary Meta Machine Learning Jobs in New Jersey

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?

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 is a temporary Meta machine learning job?

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

Data Scientist-Vice President

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 27 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description

The GT Chief Data & Analytics Office (CDAO) at JPMorgan Chase develops data science solutions for a wide range of global technology (GT) use cases. Data scientists within GT CDAO tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for data, cyber, software, and technology infrastructure.

As the Data Scientist-Vice President in the GT Chief Data & Analytics Office(CDAO) at JPMorgan Chase, you will apply sophisticated machine learning, LLM, and agentic methods to a wide variety of complex tasks, large data sets, data lakes, and MCP services, to deliver solutions including agentic assistants, anomaly detection, classification, and document corpus retrieval.

You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, continuous improvement, and high motivation.

Job Responsibilities

  • Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems technology and infrastructure domains
  • Collaborate with partner teams in strategy, governance, controls, and engineering to deploy solutions into production
  • Bridge advanced AI research with robust engineering to build innovative, production-ready solutions.

Required qualifications, capabilities and skills

  • PhD  in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 2 years experience  Or Masters with 5 years of industry or research experience in the field.
  • Hands-on experience and solid understanding of machine learning, LLMs fine-tuning including PEFT, and agentic design
  • Experience with advanced agentic workflow orchestration, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures.
  • Extensive experience with machine learning and deep learning toolkits (e.g.: PyTorch, Transformers, NumPy, Scikit-Learn, Pandas)
  • Extensive experience with multi-modal large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, vector databases, opensource models, RAG, agentic systems & workflows, LLM fine-tuning)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
  • Curious, hardworking, and detail-oriented, and motivated by complex analytical problems
  • Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities, and skills 

  • Experience with developing and deploying machine learning models for enterprise-scale meta data management, data governance, data quality on cloud data lakes, cyber threat detection
  • Experience with AWS deployment 
  • Ability to develop and debug production-quality code and leverage AI pair programming
  • Strong background in Mathematics and Statistics
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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