Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) Remo

Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) Remote

Noble Cortex

is seeking a

Machine Learning Engineer

with a passion for

speech recognition

and

Large Language Model (LLM) fine-tuning . This role provides the chance to work on cutting-edge AI projects that push the boundaries of

communication technologies

and unlock the potential of

AI-driven solutions . Youll be working in a collaborative environment where your expertise in

ML algorithms

and

LLM techniques

will play a critical role in shaping the future of

AI communication . About Noble Cortex and Our Culture

At

Noble Cortex , were more than a startup studiowere a family office-backed venture focused on

empowering visionary entrepreneurs

to create the

next big thing

for the world, for humanity, and for themselves. Join us, and youll have the unique opportunity to work on

transformative AI projects

that have the potential to reshape industries and improve lives. We foster a culture of

innovation, collaboration , and

personal growth . Our team is dedicated to turning bold ideas into reality, and we offer a space where creativity meets purpose. Mission-Driven : Were committed to building solutions that matterboth for the

advancement of AI

and for

improving the world

around us. When you join Noble Cortex, youre not just working on a productyoure contributing to something greater. Flexible and Supportive Work Environment : We understand that creativity flourishes in a flexible setting. Thats why we offer

unlimited PTO ,

remote work flexibility , and a schedule that adapts to you, so you can focus on doing your best work. Comprehensive Benefits : We believe in taking care of our team with

competitive salaries , a

401K match ,

healthcare , and

maternity/paternity leave . We also know that your personal life is important, so we prioritize

work-life balance

through benefits that support you both at work and at home. Join Noble Cortex, and be part of a team thats shaping the future with

AI innovation , while also growing your own skills and career in a

supportive, dynamic environment . What Youll Do:

We are looking for a

Machine Learning Engineer

with specialized expertise in

Large Language Model (LLM) fine-tuning

and

speech recognition technologies . As part of our AI-focused startup studio, you will play a pivotal role in

training and optimizing large-scale AI models , pushing the boundaries of whats possible with

language-based models

and

real-time applications . This role demands not only deep technical skills but also a strong understanding of

LLM architectures ,

fine-tuning techniques , and the application of

transfer learning

to domain-specific tasks. You will be expected to work with cutting-edge methodologies and engage with tools like

LoRA (Low-Rank Adaptation)

and

RLHF (Reinforcement Learning from Human Feedback)

for model optimization. You should also be ready to bring creative, efficient solutions to the challenges of

real-time model deployment . Key Responsibilities:

Develop Speech Recognition Models : Design, build, and fine-tune

speech recognition models

using the latest advancements in

deep learning

and

AI . Fine-tune LLMs : Leverage state-of-the-art techniques like

LoRA

to fine-tune large language models to domain-specific tasks and optimize model performance. LLM Scaling & Optimization : Tackle challenges in

model scaling ,

memory efficiency , and

performance optimization

for real-time applications. Domain Adaptation : Use

transfer learning

techniques to adapt general LLMs to specific domains or tasks, such as fine-tuning for specific

dialogue systems ,

NLP tasks , or industry-specific applications. Collaborative Problem-Solving : Work with cross-functional teams to integrate AI models into

production environments

and ensure real-world effectiveness. What We Expect:

Deep knowledge of

transformer-based architectures

(e.g.,

GPT, BERT, T5, LLaMA ), with a focus on model pre-training, fine-tuning, and optimization. Hands-on experience with

LLM fine-tuning ,

LoRA ,

parameter-efficient tuning , and techniques for improving

generalization

and

task adaptation . Experience in

speech recognition systems , including ASR models and

audio processing

techniques. Strong familiarity with

real-time optimization techniques

and the challenges of deploying LLMs in low-latency environments. Comfort with

experiment tracking

and

hyperparameter tuning

for training large models at scale. Additional Experience Wed Like:

Working with

LLMs

beyond traditional fine-tuning, such as

RLHF

or using techniques to align models with

human preferences . Practical experience with

distributed training

and fine-tuning frameworks like

Hugging Face Transformers ,

DeepSpeed ,

Accelerate , or

Megatron-LM . Knowledge of

data-efficient training

methods, including

few-shot learning ,

zero-shot learning , and

active learning . Why Join Noble Cortex?

Build the Future of AI : Contribute to

transformative AI products

that impact how humans communicate and interact with technology. Unlimited PTO : Recharge when you need it. We offer

unlimited paid time off

to help you balance work and life. Flexible Schedule : We believe in flexibilitywork when youre most productive. Our

remote work policies

and flexible hours allow you to shape your schedule around your life. Comprehensive Benefits : Enjoy

401K matching ,

maternity and paternity leave , and comprehensive

health benefits

that cover you and your family. Cutting-Edge Tech : Collaborate with a talented team of innovators and work on

pioneering AI projects

in a

growth-oriented environment . At

Noble Cortex , were not just focused on building

companies ; were focused on building

innovative solutions

that will

change the world . Our team members are empowered to

lead ,

innovate , and contribute in an environment that prioritizes both

professional growth

and

well-being . Apply Now:

If youre excited about pushing the limits of

AI communication technology

and want to be part of a team that values innovation and

human-centered progress , wed love to hear from you. #J-18808-Ljbffr