Generative Ai Engineer Jobs in New York

Build and manage a high-performing team of data scientists, AI researchers, and engineers, fostering a culture of collaboration, learning, and innovation.

15+ years of experience in generative AI, including hands-on experience with state-of-the-art generative models and techniques.

Strong knowledge of AI and machine learning algorithms, frameworks, and tools, with a specific focus on generative AI techniques.

Excellent leadership skills, with the ability to inspire and motivate a diverse team.

Excellent communication and presentation skills, with the ability to effectively engage and influence clients and stakeholders.

Strong business acumen and strategic thinking abilities.

Experience developing and debugging software in Python.

Experience with deep learning frameworks such as PyTorch or TensorFlow.

Experience with algorithms, data structures, and object-oriented programming.

Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.

Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

Manage and maintain social media accounts, scheduling posts, responding to comments, and analyzing engagement metrics

Strong written and verbal communication skills

Data analysis skills with the ability to extract insights and make data-driven recommendations

Excellent organizational skills and attention to detail

Ability to manage multiple tasks and projects simultaneously

Strong teamwork and collaboration abilities

5+ years of professional software development experience.

A passion for data and experience in applying that passion to high quality data products.

Extensive experience with entire software development cycle from design to deployment.

Strong knowledge of software engineering best practices, object oriented concepts, and the ins and outs of data-focused development.

Provide consultancy on how AI/ML can help with a team’s existing processes.

Conduct quantitative research and deliver insights related to NLP/Machine learning models.

Build and manage a high-performing team of data scientists, AI researchers, and engineers, fostering a culture of collaboration, learning, and innovation.

15+ years of experience in generative AI, including hands-on experience with state-of-the-art generative models and techniques.

Strong knowledge of AI and machine learning algorithms, frameworks, and tools, with a specific focus on generative AI techniques.

Excellent leadership skills, with the ability to inspire and motivate a diverse team.

Excellent communication and presentation skills, with the ability to effectively engage and influence clients and stakeholders.

Strong business acumen and strategic thinking abilities.

Understand advanced Python functions, LLMs - foundational models, Azure OpenAI, Google vertex .ai, or Sage maker]

Basic Understanding of Generative AI including GPT-3, Codex & DALL-E

Able to fine-tune data and Hyperparameters

Your qualifications and experience should include:

Seniority will depend on number of years of work experience after PhD (or equivalent experience).

Experience working with different AI / AI ethics stakeholders, such as users and product, engineering, legal, and compliance business units.

Employee assistance plan and comprehensive behavioral health benefits

Fertility benefits, including surrogacy, and adoption assistance programs  

Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance 

You are aware of the trends in future of work, personal finance, and entrepreneurship

Ability to work independently and manage your time effectively

Content Creator — YouTube, TikTok, or Instagram

Reselling and Thrifting — including eBay, Etsy, Mercari, Poshmark, and others

E-Commerce — including Amazon, Shopify, and your own online store

Gig Economy — like DoorDash, Uber, or Lyft

Evaluate the quality and educational effectiveness of the content produced by our AI systems against defined quality bars, in structured datasets.

Troubleshoot and resolve issues related to AI-generated content to ensure a seamless learning experience for our students.

Experience with generative AI for producing content - you already understand the limitations, pitfalls, and best practices.

Basic coding skills (AP Computer Science A level is enough)

AI Prompt Engineer key responsibilities

Design, develop, and refine generative AI prompts for AP, SAT, and K-12 for a wide range of subjects.

Strong communication and relationship management skills. Expertly distills technical details into plain English for broader consumption.

Develop and advocate your vision of an outstanding customer experience powered by advanced technologies.

Create a roadmap that supports our long term vision for best-in-class customer experience and top-quality agents.

Own and manage foundational elements of the Robinhood's support ecosystem including case classification, routing, attribution, and our data model.

4+ years experience building and shipping high-quality, customer experiences and platforms. Direct experience launching ML/chatbot features preferred.

Experience with using research, experimentation, and product analytics to guide decision making.

4+ years of experience with Python and SQL

Must have experience working on products that use LLMs and/or prompt-engineering

Hybrid from NYC or Remote in the US (EST work hours)

2+ years of JavaScript preferred

Required Qualifications, Skills and Capabilities':

Experience with educating teams in data literacy and data tools is beneficial.

Certification in Alteryx, Tableau or other digital tools is welcomed.

Liaise with the product / Engineering team to establish data connections for the aligned business area.

Oversee testing new product features, prioritizing/proposing enhancement requests and more.

Candidates must be comfortable with change, ambiguity, debate, conflict and informed risk taking.

6+ years of experience in consulting, investing, or startups with an AI focus

Work or research experience in AI preferred

Support Primary’s idea generation and vetting process

Conduct intensive market analysis, competitive landscaping and customer research

Develop business models, product roadmaps, and go-to-market strategies for the most promising startup ideas

Create pitch decks and other investor materials

Experience with educating teams in data literacy and data tools is beneficial.

Certification in Alteryx, Tableau or other digital tools is welcomed.

Liaise with the product / Engineering team to establish data connections for the aligned business area.

Oversee testing new product features, prioritizing/proposing enhancement requests and more.

Candidates must be comfortable with change, ambiguity, debate, conflict and informed risk taking.

Culturally, candidates must share the team values such as collaboration, diversity, and respect.

NetraScale is entering an exciting new phase centered on digital innovation, risk management, and value creation.

Experienced in AI / ML, Big Data, TensorFlow, R, Python, APIs.

Solid experience in at least one highly regulated sector.

Adept at choosing the right tools for the job, including design, development, and testing phases.

Identifying and fixing bias in AI/ML models.

A strong communicator, willing to take ownership and conduct product demos.

2+ years of industry experience in a software engineering role in supporting machine learning projects (open-source contributions are a plus!)

Experience working with different business stakeholders, such as researchers, engineers, lawyers, and compliance officers

Ability to deliver on tight deadlines and adapt to evolving or changing requirements

Implement, train, evaluate machine learning models

Curate, clean, handle machine learning datasets

Support the development of AI Ethics research projects from the ground up

Excellent communication and time management skills

3+ years of experience in technical program management, and/or product management

Experience driving and delivering technical programs or products from inception to delivery

Bachelor’s degree in a technical field or equivalent years of experience

Basic knowledge of machine learning techniques and workflows

Experience working with machine learning, computer vision, and/or AR/VR projects, technology, or programs