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Python Ai Developer Jobs in Summerfield, NC (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Elon, NC

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python ai developer in Summerfield, NC is $52.44, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $59.57 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

Which 3 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, developing, and overseeing AI systems, often requiring advanced technical skills, domain expertise, and adaptability to evolving technologies.

Will AI replace Python coders?

AI development roles, including Python AI developers, focus on creating and maintaining AI models and tools. While AI can automate certain coding tasks, human expertise is still essential for designing, debugging, and improving AI systems, making complete replacement unlikely in the near term.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

Which 5 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research scientist, data scientist, machine learning engineer, cybersecurity analyst, and software architect. These positions often involve designing, overseeing, and interpreting AI systems, which are less susceptible to automation. Continuous learning and expertise in AI tools and programming languages are essential for long-term job security in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and programming with tools like Python, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in business applications.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
What job categories do people searching Python Ai Developer jobs in Summerfield, NC look for? The top searched job categories for Python Ai Developer jobs in Summerfield, NC are:
What cities near Summerfield, NC are hiring for Python Ai Developer jobs? Cities near Summerfield, NC with the most Python Ai Developer job openings:
Python Ai Developer jobs near you

Machine Learning Engineer

Bespoke Labs

Elon, NC

Full-time

Posted 4 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

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