... Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model Long context and ...
... Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model Long context and ...
Chemical Operator
Linden, NJ · On-site
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
Linden, NJ · On-site
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
$20 - $22.75/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
Linden, NJ · On-site
$14.42 - $28.85/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
Chemical Operator
Linden, NJ · On-site
$14.42 - $28.85/hr
These team members will need to be willing to learn to complete all assigned tasks such as distillation, filtration, and blending, within units at the facility. Able to obtain boiler license, if they ...
ML Researcher, Apple Foundation Models
$184K - $324K/yr
... Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model Long context and ...
ML Researcher, Apple Foundation Models
$184K - $324K/yr
... Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model Long context and ...
QC Analyst
$26 - $31/hr
Perform laboratory-scale distillation of essential oils, natural products, and aromatic raw materials to support quality evaluation, product verification, method development, and investigative ...
QC Analyst
$26 - $31/hr
Perform laboratory-scale distillation of essential oils, natural products, and aromatic raw materials to support quality evaluation, product verification, method development, and investigative ...
... distillation/quantization where useful). • Stand up secure APIs/services with observability, tracing, RBAC, and audit logs; uphold privacy and compliance requirements. • Advise on prompting vs ...
... distillation/quantization where useful). • Stand up secure APIs/services with observability, tracing, RBAC, and audit logs; uphold privacy and compliance requirements. • Advise on prompting vs ...
Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models * Experience bringing LLM-based products from research to production
Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models * Experience bringing LLM-based products from research to production
Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert annotation ...
Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert annotation ...
Senior Applied Scientist, Document Understanding
New York, NY · On-site +1
$100K - $136K/yr
Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert ...
Senior Applied Scientist, Document Understanding
New York, NY · On-site +1
$100K - $136K/yr
Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert ...
Senior Applied Scientist, Document Understanding
$100K - $136K/yr
Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert ...
Senior Applied Scientist, Document Understanding
$100K - $136K/yr
Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert ...
Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert annotation ...
Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs * Design evaluation frameworks - component-level and end-to-end - using expert annotation ...
Quantum Computing Research Scientist - Quantum Error Correction - Vice President
Manhattan, NY · On-site
... distillation or cultivation, generalized code surgery, code adapters and extractors, dynamical codes, ZX calculus • Experience building quantum circuits in a major software framework such as Cirq ...
Quantum Computing Research Scientist - Quantum Error Correction - Vice President
Manhattan, NY · On-site
... distillation or cultivation, generalized code surgery, code adapters and extractors, dynamical codes, ZX calculus • Experience building quantum circuits in a major software framework such as Cirq ...
Senior Research Scientist, Foundation Model (LLM/VLM)
Manhattan, NY · On-site
$204 - $259/hr
Model distillation * Transformer models * Autoencoders and embeddings Benefits Base salary range: $204,000--$259,000 USD (adjusted by location, experience, education, and skill level). Eligibility ...
Senior Research Scientist, Foundation Model (LLM/VLM)
Manhattan, NY · On-site
$204 - $259/hr
Model distillation * Transformer models * Autoencoders and embeddings Benefits Base salary range: $204,000--$259,000 USD (adjusted by location, experience, education, and skill level). Eligibility ...
Lead fine-tuning and adaptation of foundation models (full fine-tuning, LoRA/PEFT, instruction tuning, preference optimization/RLHF/DPO, distillation). * Define rigorous evaluation research and ...
Lead fine-tuning and adaptation of foundation models (full fine-tuning, LoRA/PEFT, instruction tuning, preference optimization/RLHF/DPO, distillation). * Define rigorous evaluation research and ...
Senior AI Engineer
Manhattan, NY · On-site
$200K - $300K/yr
Fine-tuning and model distillation to improve performance and efficiency * Real-time inference systems supporting millions of medical consultations monthly * Custom workflows for domain-specific ...
Senior AI Engineer
Manhattan, NY · On-site
$200K - $300K/yr
Fine-tuning and model distillation to improve performance and efficiency * Real-time inference systems supporting millions of medical consultations monthly * Custom workflows for domain-specific ...
Fine-tune and adapt LLMs/SLMs using PEFT (LoRA, AdaLoRA, IA3), distillation, and quantization; optimize for quality, latency, cost, and production constraints. * Select and innovate on ML strategies ...
Fine-tune and adapt LLMs/SLMs using PEFT (LoRA, AdaLoRA, IA3), distillation, and quantization; optimize for quality, latency, cost, and production constraints. * Select and innovate on ML strategies ...
Distillation / compression (teacher-student, quantization-aware approaches, latency/cost-driven optimization) * Robust evaluation and failure-mode analysis for real-world deployment * Strong software ...
Distillation / compression (teacher-student, quantization-aware approaches, latency/cost-driven optimization) * Robust evaluation and failure-mode analysis for real-world deployment * Strong software ...
Applied AI/ML Lead - Vice President - Payments
Manhattan, NY · On-site
$171K - $260K/yr
Distillation / compression (teacher-student, quantization-aware approaches, latency/cost-driven optimization) * Robust evaluation and failure-mode analysis for real-world deployment * Strong software ...
Applied AI/ML Lead - Vice President - Payments
Manhattan, NY · On-site
$171K - $260K/yr
Distillation / compression (teacher-student, quantization-aware approaches, latency/cost-driven optimization) * Robust evaluation and failure-mode analysis for real-world deployment * Strong software ...
Distillation information
What is the difference between Distillation vs Chemical Technician?
| Aspect | Distillation | Chemical Technician |
|---|---|---|
| Required Credentials | High school diploma or equivalent; specialized training in distillation processes | Associate's degree or higher in chemistry or related field; certifications may be preferred |
| Work Environment | Laboratories, manufacturing plants, or refineries involving process operations | Laboratories, manufacturing facilities, and industrial settings |
| Industry Usage | Primarily in chemical, petroleum, and beverage industries | Across chemical, pharmaceutical, and manufacturing industries |
Distillation involves operating and maintaining distillation equipment to separate mixtures, often requiring specialized training. Chemical Technicians support laboratory and production processes, including testing and quality control. While both roles work in chemical environments, distillation focuses on process operation, whereas Chemical Technicians handle broader laboratory tasks.
Do you need a degree to be a distillation specialist?
A degree is not strictly required to become a distillation specialist, but many employers prefer candidates with a background in chemistry, chemical engineering, or related fields. Relevant skills, experience with laboratory equipment, and certifications can also be important for this role.
Is distillation a hard job?
Distillation jobs can be physically demanding and require attention to safety protocols, as workers often handle hazardous chemicals and operate complex equipment. The job may involve long shifts and working in industrial environments, but with proper training and experience, it can be manageable for those with technical skills. Overall, the difficulty depends on the specific role and work setting.
What jobs use distillation?
Jobs that use distillation include chemical engineers, process technicians, and laboratory scientists working in industries such as petrochemicals, alcohol production, and pharmaceuticals. These roles often require knowledge of chemical processes, safety protocols, and the operation of distillation equipment. Professionals in these positions design, operate, and maintain distillation systems to separate and purify chemical compounds.
What are popular job titles related to Distillation jobs in New York?
For Distillation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Distillation jobs in New York look for?
The top searched job categories for Distillation jobs in New York are:
What cities in New York are hiring for Distillation jobs?
Cities in New York with the most Distillation job openings:
Apple rating
8.1
Based on 678 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team
Description
We are building the next generation of models optimized for Agentic, Reasoning, and Coding capabilities. This means training models via RL to reason from first principles, building autonomous coding agents that operate in real repositories, and developing agentic systems that handle multi-step workflows with error recovery. You will work on problems like: RL with verifiable rewards for mathematical reasoning, multi-turn RL for coding agents evaluated on SWE-Bench and beyond, scaling laws for RL compute allocation, progressive alignment across capability stages, and training models to manage their own context in long-horizon tasks. This is applied research with direct product impact - your work will ship to millions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track record of applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning for LLMs: RLHF, GRPO, PPO, RLVR, reward modeling, RL scaling laws
Code generation and coding agents: repository-level code understanding, agentic coding
Agentic systems: multi-turn RL, tool-use planning, long-horizon task execution, user simulation
Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model
Long context and efficiency: sparse attention, context compression, scaling to very long context windows
Description
We are building the next generation of models optimized for Agentic, Reasoning, and Coding capabilities. This means training models via RL to reason from first principles, building autonomous coding agents that operate in real repositories, and developing agentic systems that handle multi-step workflows with error recovery. You will work on problems like: RL with verifiable rewards for mathematical reasoning, multi-turn RL for coding agents evaluated on SWE-Bench and beyond, scaling laws for RL compute allocation, progressive alignment across capability stages, and training models to manage their own context in long-horizon tasks. This is applied research with direct product impact - your work will ship to millions of users.
Minimum Qualifications
Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track record of applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
Ability to work in a collaborative environment.
PhD, or equivalent practical experience, in Computer Science, or related technical field.
Preferred Qualifications
Reinforcement learning for LLMs: RLHF, GRPO, PPO, RLVR, reward modeling, RL scaling laws
Code generation and coding agents: repository-level code understanding, agentic coding
Agentic systems: multi-turn RL, tool-use planning, long-horizon task execution, user simulation
Distillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single model
Long context and efficiency: sparse attention, context compression, scaling to very long context windows
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976