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Evolutionary Scale Jobs (NOW HIRING)

Nvidia Corporation

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Santa Clara, CA · On-site

$143K - $189K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Astera

Scientist - Computational Biophysics

Emeryville, CA · On-site

$100K - $180K/yr

You will design and maintain large-scale bioinformatic pipelines, manage complex datasets, develop ... Synthesize diverse data sources spanning evolutionary history, binding affinity, allostery, and ...

Nvidia

Senior Compiler Engineer - AI

Redmond, WA · On-site

$137K - $180K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

Nvidia

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

... large-scale, high-impact products. * Design and implement end-to-end compiler optimization ... Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ...

NVIDIA

Senior Compiler Engineer - AI

Redmond, WA · On-site

$117K - $160K/yr

... large-scale, high-impact products. • Design and implement end-to-end compiler optimization ... Preferred : • Deep familiarity with reinforcement learning, genetic/evolutionary algorithms ...

CommScope Inc.

Test Engineer

Shakopee, MN · On-site

... scale across. With the global manufacturing capacity to meet customers' ambitious growth, our solutions help conquer network complexity, accelerate deployments and deliver long-term evolutionary ...

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Evolutionary Scale information

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How much do evolutionary scale jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for evolutionary scale in the United States is $17.80, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.71 per hour, depending on experience, location, and employer.

What is the difference between Evolutionary Scale vs Data Analyst?

AspectEvolutionary ScaleData Analyst
Required CredentialsTypically a background in evolutionary biology, genetics, or related fields; often a master's or PhDBachelor's degree in statistics, mathematics, computer science, or related fields; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentResearch labs, universities, biotech companies, often in academic or research settingsBusiness environments, consulting firms, tech companies, working with data visualization and reporting tools
Employer & Industry UsagePrimarily in scientific research, academia, and biotech industriesAcross industries including finance, marketing, healthcare, and technology

While Evolutionary Scale specialists focus on biological data and research, Data Analysts interpret and visualize data to support business decisions. Both roles require analytical skills but differ significantly in their domain expertise and work environment.

More about Evolutionary Scale jobs
What cities are hiring for Evolutionary Scale jobs? Cities with the most Evolutionary Scale job openings:
What states have the most Evolutionary Scale jobs? States with the most job openings for Evolutionary Scale jobs include:
What job categories do people searching Evolutionary Scale jobs look for? The top searched job categories for Evolutionary Scale jobs are:
Evolutionary Scale jobs near you
Infographic showing various Evolutionary Scale job openings in the United States as of July 2026, with employment types broken down into 11% Locum Tenens, 19% Internship, 26% As Needed, 11% Full Time, 17% Part Time, and 16% Nights. Highlights an 41% Physical, 1% Hybrid, and 58% Remote job distribution, with an average salary of $37,032 per year, or $17.8 per hour.

Research Scientist - Driven Agent Self-Evolution - Global Frontier Tech Recruitment Program - 2027 S

ByteDance

San Jose, CA • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
ByteDance is a global technology company known for its innovative products like TikTok and CapCut. They are seeking a Research Scientist to join their Applied Machine Learning Ark team, focusing on developing self-evolving agent frameworks that learn and improve from user feedback and environmental signals.
Responsibilities:
• Research and develop agent frameworks that continuously learn and improve from execution traces, user feedback, and environmental signals.
• Build large-scale log analytics pipelines to extract quality signals, usage patterns, and actionable insights from model and agent invocation logs, driving data-informed system and model improvements.
• Explore and apply frontier techniques in LLM post-training, reasoning, and planning to enhance agent capabilities.
• Collaborate across algorithm research, platform engineering, and product teams to turn research ideas into production-grade systems at scale.
Qualifications:
Required:
• Individuals who are completing or have recently completed a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
• Strong theoretical and practical foundation in machine learning, deep learning, reinforcement learning, or optimization.
• Research experience in at least one of the following areas: LLM-based agents, planning and reasoning, multi-agent systems, continual/lifelong learning, or LLM post-training (e.g., RLHF, DPO, GRPO, self-play).
• Strong programming skills in Python and proficiency with ML frameworks (e.g., PyTorch, TensorFlow, JAX).
• Publication record at top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, AAMAS, COLM).
• Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
Preferred:
• Publications in areas directly related to agent learning and adaptation, such as tool use, self-improvement, skill discovery, trajectory optimization, reward modeling, or agent evaluation.
• Research experience in LLM reasoning and planning, including chain-of-thought, tree/graph search, Monte Carlo methods, or inference-time compute scaling.
• Experience training or fine-tuning large language models, including supervised fine-tuning, preference optimization, or curriculum learning.
• Hands-on experience building or evaluating LLM-based agent systems (e.g., ReAct, function calling, code generation agents, or multi-agent orchestration).
• Familiarity with meta-learning, few-shot generalization, or transfer learning in the context of LLM-based systems.
• Experience with feedback-driven optimization loops, such as online learning, bandit methods, or evolutionary strategies applied to agent improvement.
• Strong interest in bridging frontier AI research with production-grade engineering — turning papers into systems that work at scale.
• Internship experience at technology companies or research organizations.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.

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