Machine Learning Engineer
Boone, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Boone, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Elon, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Elon, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Raleigh, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Raleigh, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Greensboro, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Greensboro, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Charlotte, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Charlotte, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Wilmington, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Wilmington, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Durham, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
Durham, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
High Point, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Machine Learning Engineer
High Point, NC · On-site
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
We also offer a language learning program. * We are flexible! We have flexible hours and intensive working hours during the summer months. In addition, you can work from home to improve your work ...
We also offer a language learning program. * We are flexible! We have flexible hours and intensive working hours during the summer months. In addition, you can work from home to improve your work ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
This means designing observation spaces, action spaces, reward signals, and success criteria for ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
$195K/yr
Foster a culture of technical excellence and continuous learning. Support the development of team ... Expertise indigital signal processing,RTL design, anddigital architecture. * Strong knowledge of:
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
$195K/yr
Foster a culture of technical excellence and continuous learning. Support the development of team ... Expertise indigital signal processing,RTL design, anddigital architecture. * Strong knowledge of:
... machine learning, computer vision or signal processing Preferred : • Experience working with AWS, S3, Docker and Kubernetes • Experience developing software for execution on edge devices (GPUs ...
... machine learning, computer vision or signal processing Preferred : • Experience working with AWS, S3, Docker and Kubernetes • Experience developing software for execution on edge devices (GPUs ...
... machine learning, computer vision or signal processing Preferred : • Experience working with AWS, S3, Docker and Kubernetes • Experience developing software for execution on edge devices (GPUs ...
... machine learning, computer vision or signal processing Preferred : • Experience working with AWS, S3, Docker and Kubernetes • Experience developing software for execution on edge devices (GPUs ...
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
Foster a culture of technical excellence and continuous learning. Support the development of team ... Expertise indigital signal processing,RTL design, anddigital architecture. * Strong knowledge of:
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
Foster a culture of technical excellence and continuous learning. Support the development of team ... Expertise indigital signal processing,RTL design, anddigital architecture. * Strong knowledge of:
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
Foster a culture of technical excellence and continuous learning. Support the development of team ... Signal Processing for Radio Signal Chains * Working understanding of signal processing for High ...
Staff Engineer - Digital ASIC and Signal Processing Chip Architect/Systems Engineer
Durham, NC · On-site
Foster a culture of technical excellence and continuous learning. Support the development of team ... Signal Processing for Radio Signal Chains * Working understanding of signal processing for High ...
Signal Processing Machine Learning information
See North Carolina salary details
$48.6K - $60.2K
3% of jobs
$60.2K - $71.8K
0% of jobs
$71.8K - $83.3K
3% of jobs
$83.3K - $94.9K
14% of jobs
$97.9K is the 25th percentile. Wages below this are outliers.
$94.9K - $106.5K
18% of jobs
The median wage is $116.2K / yr.
$106.5K - $118K
14% of jobs
$118K - $129.6K
22% of jobs
$130.2K is the 75th percentile. Wages above this are outliers.
$129.6K - $141.2K
11% of jobs
$141.2K - $152.7K
6% of jobs
$152.7K - $164.3K
6% of jobs
$164.3K - $175.9K
2% of jobs
$48.6K
$119.4K
$175.9K
How much do signal processing machine learning jobs pay per year?
As of Jul 3, 2026, the average yearly pay for signal processing machine learning in North Carolina is $119,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,600.00 and $134,000.00 per year, depending on experience, location, and employer.
What are some typical projects or responsibilities for a Signal Processing Machine Learning professional?
As a Signal Processing Machine Learning professional, you can expect to work on projects that involve developing and optimizing algorithms for tasks such as audio or image recognition, anomaly detection, or sensor data analysis. Daily responsibilities often include pre-processing and cleaning large datasets, feature extraction, building and training machine learning models, and validating system performance. Collaboration with cross-functional teams—such as hardware engineers, data scientists, and software developers—is common to integrate your solutions into products or services. The work environment is typically dynamic and may involve both research-oriented tasks and practical implementation to create impactful, data-driven applications.
What is a Signal Processing Machine Learning job?
A Signal Processing Machine Learning job involves developing algorithms that analyze and process signals (such as audio, images, video, or sensor data) using machine learning techniques. Professionals in this role apply concepts from digital signal processing (DSP) to extract meaningful patterns, enhance signal quality, and improve data-driven predictions. They work in diverse fields like telecommunications, biomedical engineering, finance, and autonomous systems. Typical tasks include feature extraction, noise reduction, and deploying deep learning models for real-time signal interpretation. Strong skills in mathematics, programming (Python, MATLAB), and frameworks like TensorFlow or PyTorch are essential.
What are the key skills and qualifications needed to thrive in the Signal Processing Machine Learning position, and why are they important?
To thrive in Signal Processing Machine Learning, you need a strong background in mathematics, digital signal processing, and machine learning, generally supported by a relevant degree in electrical engineering, computer science, or a related field. Experience with programming languages such as Python or MATLAB, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of signal processing libraries are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills in this position. These competencies enable you to design, implement, and refine advanced algorithms that address complex, real-world data challenges.
What are popular job titles related to Signal Processing Machine Learning jobs in North Carolina? For Signal Processing Machine Learning jobs in North Carolina, the most frequently searched job titles are:
- Phd Signal Processing
- Unity Game Developer
- Manager Machine Learning Finance
- Machine Learning Ai Developer
- Remote Machine Learning Engineer
- Signal Processing Engineer
- Work From Home Radar Signal Processing Engineer
- Remote Tile Estimator
- Work From Home Digital Signal Processing Engineer
- Junior Machine Learning Engineer
What job categories do people searching Signal Processing Machine Learning jobs in North Carolina look for? The top searched job categories for Signal Processing Machine Learning jobs in North Carolina are:
Full-time
Posted 15 days ago
Job description
About Us
We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.
We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.
What You'll Be Working On
You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.
Must-Have Skills
3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production
Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)
Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior
Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives
Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)
Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination