Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) –
Noble Cortex IncorporatedRole Overview
Noble Cortex Incorporated is hiring a mid-level Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) –. This is a full-time role in New York. Part of Noble Cortex Incorporated's Data Science hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Data Science roles is $150k-$240k (based on 19 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
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. You’ll 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, we’re more than a startup studio—we’re 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 you’ll 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: We’re committed to building solutions that matter—both for the advancement of AI and for improving the world around us. When you join Noble Cortex, you’re not just working on a product—you’re contributing to something greater.
- Flexible and Supportive Work Environment: We understand that creativity flourishes in a flexible setting. That’s 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 that’s shaping the future with AI innovation, while also growing your own skills and career in a supportive, dynamic environment.
What You’ll 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 what’s 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 We’d 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 flexibility—work when you’re 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, we’re not just focused on building companies; we’re 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 you’re excited about pushing the limits of AI communication technology and want to be part of a team that values innovation and human-centered progress, we’d love to hear from you.
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About Noble Cortex Incorporated
Noble Cortex Incorporated
Frequently Asked Questions
How do I apply for the Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) – position at Noble Cortex Incorporated?
Use the Apply button above to submit your application directly to Noble Cortex Incorporated. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) – position at Noble Cortex Incorporated located?
This position is based in New York. Noble Cortex Incorporated has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) – at Noble Cortex Incorporated earn?
Noble Cortex Incorporated has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Experienced Machine Learning Engineer (Speech Recognition, LLM Fine-tuning) – role at Noble Cortex Incorporated posted?
This role was posted on July 10, 2026 (today). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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