1

Experimental Jobs in Alabama (NOW HIRING)

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...

Key decisions include selecting and implementing experimental protocols, ensuring compliance with institutional, regulatory, and safety requirements, prioritizing multiple concurrent research ...

Machinist

Birmingham, AL · On-site

$20.50 - $28/hr

Works from drawings and written instructions to create replacement and new parts in making repairs to metal parts as well as for experimental apparatus or prototype equipment. Work is routine and ...

Machinist

Birmingham, AL · On-site

$20.50 - $28/hr

Works from drawings and written instructions to create replacement and new parts in making repairs to metal parts as well as for experimental apparatus or prototype equipment. Work is routine and ...

Machinist

Birmingham, AL · On-site

$20.50 - $28/hr

Works from drawings and written instructions to create replacement and new parts in making repairs to metal parts as well as for experimental apparatus or prototype equipment. Work is routine and ...

Showing results 41-60

Experimental information

See Alabama salary details

$62.1K

$130.5K

$172.7K

How much do experimental jobs pay per year?

As of Sep 6, 2026, the average yearly pay for experimental in Alabama is $130,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $153,200.00 per year, depending on experience, location, and employer.

What is an experimental job?

Experimental jobs typically refer to roles that involve designing, conducting, and analyzing experiments to test hypotheses or develop new products, processes, or theories. These jobs are common in scientific research, engineering, technology development, and academic settings. People in these positions use various scientific methods and tools to collect data and interpret results, often working as part of a larger research team. Experimental jobs can be found in industries such as pharmaceuticals, biotechnology, manufacturing, and academia. They require strong analytical skills, attention to detail, and a solid understanding of scientific principles.

What are some common challenges faced by professionals in experimental research roles, and how can they be addressed?

Professionals in experimental research roles often encounter challenges such as designing robust experiments, managing unforeseen variables, and ensuring reproducibility of results. These roles typically require adaptability, strong collaboration with interdisciplinary teams, and meticulous documentation to address unexpected outcomes or setbacks. Leveraging peer feedback, staying updated with best practices, and participating in regular team reviews can help mitigate these challenges and contribute to successful research outcomes.

What are the key skills and qualifications needed to thrive as an experimental scientist, and why are they important?

To thrive as an Experimental Scientist, you need a solid grounding in scientific research methods, data analysis, and a relevant degree in your field (such as physics, chemistry, or biology). Familiarity with laboratory equipment, statistical analysis software, and adherence to safety protocols are commonly required. Strong problem-solving abilities, attention to detail, and effective communication help set candidates apart. These skills are crucial for designing valid experiments, accurately interpreting results, and sharing findings within the scientific community.

What is the difference between Experimental vs Research Assistant?

AspectExperimentalResearch Assistant
Required CredentialsTypically a bachelor's degree in a relevant field; some roles may require a master'sUsually a bachelor's degree; some positions may require additional coursework or experience
Work EnvironmentLaboratories, research facilities, or field sitesLaboratories, academic institutions, or research organizations
Employer & Industry UsageResearch labs, universities, biotech companiesUniversities, research institutes, government agencies
Common Search & ComparisonOften compared for entry-level research rolesMore focused on assisting with research projects

Experimental roles involve conducting specific experiments and data collection, often requiring hands-on lab work. Research Assistants support broader research activities, including data analysis and literature review. While both roles work in research environments, Experimental positions are more focused on experimental procedures, whereas Research Assistants assist with overall project management.

What are popular job titles related to Experimental jobs in Alabama?

For Experimental jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Experimental jobs in Alabama look for?

The top searched job categories for Experimental jobs in Alabama are:

Infographic showing various Experimental job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 64% Full Time, 30% Part Time, and 5% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $130,528 per year, or $62.8 per hour.

Machine Learning Engineer

Bespoke Labs

Huntsville, AL

Full-time

Re-posted 21 days ago


Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems