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Coding Train Jobs in New York (NOW HIRING)

Anysphere

Research Scientist

Manhattan, NY · On-site

Responsibilities : • Improve our understanding of RL, what it takes to handle longer horizon tasks, and train with less compute • Train graders to improve performance on coding tasks with non ...

Katzman

Quality Control Warehouse Worker

Bronx, NY · On-site

$20/hr

They will have a full understanding of all Quality conditions and determine proper coding based on ... Must have the ability to train and cross train new and existing Team Members. * Update operations ...

NYULMC

Billing Coordinator II - Urology

Mineola, NY · On-site

$21.25 - $27.50/hr

Review and train practices on local and national coding and reimbursement policies including payer coding guidelines. Work with patients and guarantors to clarify financial responsibilities as needed.

Anysphere, Inc

Software Engineer, ML Research

New York, NY · On-site

$224K/yr

We train frontier coding agents and scale RL on real user data to make them increasingly effective. About the role We're looking for Research Engineers to build the training, inference, and data ...

Cursor

Software Engineer, ML Research

Manhattan, NY · On-site

$100 - $140/hr

We train frontier coding agents and scale RL on real user data to make them increasingly effective. About the role We're looking for Research Engineers to build the training, inference, and data ...

New

Union Beverage

Production Supervisor

Hillside, NJ

Cross train team members to ensure a flexible, motivated work force. * Conduct and document disciplinary actions where needed, address attendance, performance, behavioral or other code of conduct ...

Anysphere, Inc

Engineering Manager, ML

New York, NY · On-site

We enjoy spirited debate, crazy ideas, and shipping code. About the Role You will lead a team of engineers building the infrastructure used to train, test, and evaluate our models. This is one of the ...

GLG

Data Operations Engineer

New York, NY

$125K - $150K/yr

Write clean, maintainable, and efficient code and queries. * Contribute to runbooks, documentation, and operational best practices. * Stay curious about new tools and approaches - we'll train you on ...

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Coding Train information

What is Coding Train?

Coding Train is an educational platform and YouTube channel created by Daniel Shiffman that focuses on teaching programming concepts, primarily using JavaScript and the p5.js library. The channel features tutorials, creative coding challenges, and live streams that make learning to code accessible and fun for people of all skill levels. Coding Train is especially known for its engaging teaching style and emphasis on visual and interactive projects, helping learners understand complex topics through hands-on examples.

What collaborative opportunities are typically available for educators working with the Coding Train community?

Educators involved with The Coding Train community often collaborate on developing educational content, organizing live coding sessions, and participating in open-source projects. Team members regularly engage with fellow educators, contributors, and learners through online forums, video workshops, and community challenges. This collaborative environment fosters the sharing of creative coding ideas, feedback on projects, and joint problem-solving, making it a supportive space for professional growth and network building.

What are the key skills and qualifications needed to thrive as a coding trainer, and why are they important?

To thrive as a Coding Trainer, you need strong programming expertise, instructional skills, and experience with relevant coding languages, often supported by a degree in computer science or a related field. Familiarity with educational platforms, code editors, and certifications such as CompTIA CTT+ or relevant language-specific credentials is typically valuable. Excellent communication, patience, and the ability to motivate and engage learners are crucial soft skills for this role. These skills ensure effective knowledge transfer, learner engagement, and successful skill development for students.

What is the difference between Coding Train vs Coding Instructor?

AspectCoding TrainCoding Instructor
CredentialsTypically self-taught or coding bootcamp graduatesOften requires teaching certifications or computer science background
Work EnvironmentOnline platforms, coding tutorials, workshopsEducational institutions, coding bootcamps, online courses
Industry UsageContent creation, online education, community engagementFormal teaching, curriculum development, student assessment

The Coding Train primarily focuses on creating coding tutorials and engaging with online communities, often without formal teaching credentials. In contrast, a Coding Instructor typically works within educational institutions or structured programs, requiring teaching certifications or relevant degrees. Both roles involve teaching coding skills but differ in credentials, work environment, and industry application.

How to train to become a coding train?

To train as a coding train, focus on developing strong programming skills in languages like JavaScript or Python, and gain experience with coding platforms, tutorials, and projects. Building a portfolio of coding exercises and understanding core concepts such as algorithms and data structures are essential for success in this role.

What are popular job titles related to Coding Train jobs in New York?

For Coding Train jobs in New York, the most frequently searched job titles are:

What job categories do people searching Coding Train jobs in New York look for?

The top searched job categories for Coding Train jobs in New York are:

What cities in New York are hiring for Coding Train jobs?

Cities in New York with the most Coding Train job openings:

Coding Train jobs near you

Senior LLM Research Engineer - Artificial Intelligence

Bloomberg L.P.

Manhattan, NY • On-site

$115K - $158K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

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

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 245 rated software companies

Job description

Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior LLM Research Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team.
The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources.
Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.
What's in it for you:
  • Collaborate with colleagues on building and applying LLMs for production systems and applications
  • Write, test, and maintain production quality code
  • Train, tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
  • Proficiency in software engineering
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus

We give back to the technology community and you can read more about our outreach at:
Salary Range = 165,000 - 260,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

What Bloomberg employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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