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Gemma Jobs in Wood Ridge, NJ (NOW HIRING)

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

Design scalable systems using open-source models (Mixtral, Mistral, Gemma, Phi-3). * Define strategies for fine-tuning (LoRA, QLoRA, PEFT) and model optimization. * Oversee model evaluation ...

Capital Rx

Staff Applied AI/ML Scientist

Manhattan, NY · On-site

Experience with local training (pre-training / fine-tuning / RLHF / post-training) of open-weightsautoregressivelargelanguage models like GLM, Qwen, Gemma,LLaMA, etc. * Experience with open-source ...

Pwc

AI Engineer

Florham Park, NJ

$50K - $112K/yr

... Gemma, for local and cloud deployment using quantization, inference acceleration, and model-routing techniques - Designing agent harnesses and implementing context engineering, memory management ...

Capital Rx

Senior Machine Learning Engineer

Manhattan, NY · On-site

$161K - $202K/yr

Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Experience developing and fine-tuning prompts on any of the GenAI services * Excellent problem-solving skills ...

a16z speedrun

Founding AI Engineer

New York, NY · On-site

Lekondo runs a mix of frontier APIs and open-weight models (think Gemma and Qwen) on our own GPUs, across both AWS and GCP. We process thousands of outfit uploads a day, and each one fans out into a ...

All JobsGemma JobsGemma Jobs in Wood-Ridge, NJ

Gemma information

See Wood Ridge, NJ salary details

$4.4K

$10.2K

$31.8K

How much do gemma jobs pay per month?

As of Aug 28, 2026, the average monthly pay for gemma in Wood-Ridge, NJ is $10,178.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,650.00 and $7,008.33 per month, depending on experience, location, and employer.

What are Gemma models?

Gemma models are a family of open-source, state-of-the-art large language models (LLMs) developed by Google. They are designed for a wide range of natural language processing tasks, such as text generation, summarization, question answering, and more. The Gemma models are lightweight, efficient, and can be fine-tuned for specific applications, making them accessible to both researchers and developers. They were released to encourage responsible AI development and collaboration within the machine learning community.

What are some common challenges gemologists face when authenticating gemstones, and how do they overcome them?

Gemologists often encounter challenges such as distinguishing between natural, treated, and synthetic gemstones, as well as identifying imitation stones. To overcome these obstacles, they rely on specialized equipment like microscopes, refractometers, and spectrometers, as well as up-to-date knowledge of new treatments and synthetic production methods. Continuous professional development and collaboration with peers are essential, as the gemstone industry frequently introduces new materials and techniques that can complicate authentication.

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

To thrive as a Gemologist, you need in-depth knowledge of mineralogy, gemstone identification, and grading, typically supported by certifications such as those from the Gemological Institute of America (GIA). Familiarity with gemological microscopes, spectrometers, and grading systems is essential for accurate analysis. Attention to detail, integrity, and strong communication skills help build trust with clients and colleagues. These skills ensure precise gemstone evaluation, ethical practices, and effective client service in the jewelry and gemstone industry.

What is the difference between Gemma vs Makeup Artist?

AspectGemmaMakeup Artist
Required CredentialsBasic training or certification in makeup applicationProfessional certification or cosmetology license often preferred
Work EnvironmentBeauty salons, freelance, eventsSalons, fashion shows, film sets, freelance
Industry UsageBeauty and cosmetics industryFashion, entertainment, bridal, editorial
Common Search/ComparisonGemma vs Makeup Artist

Gemma typically refers to a specific role or brand in the beauty industry, often involving makeup application. A Makeup Artist is a professional trained to apply makeup for various occasions, with more formal credentials and diverse work environments. While both roles focus on makeup, Makeup Artists usually have more extensive training and work in broader settings like fashion shows or film productions. Understanding these differences helps job seekers identify the right career path or job opportunity.

What cities near Wood-Ridge, NJ are hiring for Gemma jobs?

Cities near Wood-Ridge, NJ with the most Gemma job openings:

Gemma jobs near you
Infographic showing various Gemma job openings in Wood-Ridge, NJ as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $122,139 per year, or $58.7 per hour.

Research Scientist (Prof Sedoc)

New York, NY • On-site

New York University
Colleges, Universities, and Professional Schools • 10K+ employees

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

82nd of 625 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about New York Universityexternal

$61K - $102K/yr

Full-time

Re-posted 15 days ago

Job description

Description
The STELLAR project, funded by the Wellcome Trust and OpenAI, is seeking a Research Scientist to develop and validate Conceptor-based steering methods for large language models (LLMs), applied to realistic AI-powered patient simulations for mental health clinician training. Conceptors are a mathematical framework for precisely manipulating internal LLM representations, enabling continuous control over psychiatric symptom presentations that simple prompting cannot.
The position is at the NYU Stern School of Business in the Department of Technology, Operations, and Statistics. You will report to Joao Sedoc and will collaborate with other stakeholders as well as with an interdisciplinary team spanning ML, psychiatry, clinical speech, and public health.
We are looking for someone who wants to do careful, impactful work at the intersection of representation learning and clinical AI.
Responsibilities
  • Develop Conceptor-based steering methods for open-weight LLMs (e.g., GPT-OSS, Llama, Gemma) to simulate psychiatric symptom presentations with precise, composable control
  • Design and run evaluation experiments measuring clinical fidelity, demographic fairness, and composability of digital patient twins
  • Collaborate with Penn psychiatry and LDC teams on integrating acoustic-linguistic features from clinical interview recordings
  • Contribute to open-source releases of Conceptor libraries, evaluation frameworks, and model checkpoints
  • Publish research at top NLP, Information Systems, ML, and interdisciplinary journals and venues (TACL, ISR, MISQ, JMLR, ACL, EMNLP, NeurIPS, IMCL, ICLR, AAAI, JAMA, npj Digital Medicine)
  • Mentor graduate students and contribute to a collaborative, cross-site research environment

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $61,500-$102,500. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
Required
  • PhD in NLP, information systems, machine learning, computer science, or a closely related field
  • Hands-on experience with LLM internals: activations, representations, fine-tuning, and/or mechanistic interpretability
  • Strong Python and PyTorch skills; comfortable working with large model weights
  • Track record of publishing peer-reviewed research

Preferred
  • Familiarity with steering vectors, activation engineering, or representation editing
  • Experience with clinical NLP, mental health language data, or speech biomarker research
  • Experience working with open-weight LLMs at scale (LoRA fine-tuning, inference optimization)
  • Interest in fairness, bias, and demographic invariance in language model outputs

Application Instructions
Apply via Interfolio and include the following:
  • a cover letter
  • a research statement describing research interests and accomplishments including research they would like to conduct (or have conducted) in AI and data-driven research
  • a C.V.
  • two letters of recommendation

Applications will be reviewed on a rolling basis until the position is filled. We aim to respond to all applicants within four weeks of submission.
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About New York University

Sourced by ZipRecruiter

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831

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