AI career guides — salaries, roles & job search

How much does a llm engineer make in San Francisco? Median $195,000, range $95,000–$275,000. Based on 18 Ganloss listings · California.

How much does a llm engineer make in New York? Median $172,500, range $130,000–$240,000. Based on 9 Ganloss listings · New York.

How much does a machine learning engineer make in New York? Median $172,500, range $48,000–$235,000. Based on 9 Ganloss listings · New York.

How much does a machine learning engineer make in San Francisco? Median $210,000, range $160,000–$270,000. Based on 8 Ganloss listings · California.

How much does a ai researcher make in San Francisco? Median $197,500, range $95,000–$275,000. Based on 7 Ganloss listings · California.

How much does a llm engineer make in Boston? Median $170,000, range $45,000–$200,000. Based on 5 Ganloss listings · Massachusetts.

How much does a mlops engineer make in San Francisco? Median $195,000, range $150,000–$260,000. Based on 5 Ganloss listings · California.

How much does a machine learning engineer make in Los Angeles? Median $200,000, range $145,000–$240,000. Based on 4 Ganloss listings · California.

How much does a automation & ai integrator make in San Francisco? Median $177,500, range $140,000–$230,000. Based on 3 Ganloss listings · California.

How much does a llm engineer make in Austin? Median $187,500, range $145,000–$230,000. Based on 3 Ganloss listings · Texas.

How much does a llm engineer make in Chicago? Median $160,000, range $130,000–$195,000. Based on 3 Ganloss listings · Illinois.

How much does a llm engineer make in Denver? Median $170,000, range $140,000–$200,000. Based on 3 Ganloss listings · Colorado.

How much does a mlops engineer make in Seattle? Median $167,500, range $140,000–$195,000. Based on 3 Ganloss listings · Washington.

How much does a llm engineer make in Seattle? Median $190,000, range $150,000–$220,000. Based on 2 Ganloss listings · Washington.

How much does a machine learning engineer make in Boston? Median $195,000, range $95,000–$230,000. Based on 2 Ganloss listings · Massachusetts.

How much does a mlops engineer make in New York? Median $172,500, range $100,000–$200,000. Based on 2 Ganloss listings · New York.

How much does a computer vision engineer make in Los Angeles? Median $180,000, range $145,000–$210,000. Based on 2 Ganloss listings · California.

How much does a ai researcher make in Seattle? Median $180,000, range $140,000–$210,000. Based on 2 Ganloss listings · Washington.

How much does a ai researcher make in Boston? Median $172,500, range $45,000–$200,000. Based on 2 Ganloss listings · Massachusetts.

How much does a ai researcher make in Los Angeles? Median $200,000, range $145,000–$235,000. Based on 2 Ganloss listings · California.

How much does a ai product manager make in New York? Median $202,500, range $100,000–$240,000. Based on 2 Ganloss listings · New York.

Java Developer careers in the United States: responsibilities, stack (java, spring, jvm, kotlin backend), training paths, salaries, and 1 active job listings on Ganloss.

Automation & AI Integrator careers in the United States: responsibilities, stack (n8n, zapier, make.com, make ), training paths, salaries, and 7 active job listings on Ganloss.

LLM Engineer careers in the United States: responsibilities, stack (llm, rag, genai, gpt), training paths, salaries, and 59 active job listings on Ganloss.

Data Scientist careers in the United States: responsibilities, stack (data scientist, data science, scikit, statistics), training paths, salaries, and 5 active job listings on Ganloss.

Machine Learning Engineer careers in the United States: responsibilities, stack (machine learning, ml engineer, pytorch, tensorflow), training paths, salaries, and 32 active job listings on Ganloss.

MLOps Engineer careers in the United States: responsibilities, stack (mlops, mlflow, kubeflow, pipeline), training paths, salaries, and 16 active job listings on Ganloss.

Data Engineer careers in the United States: responsibilities, stack (data engineer, dbt, snowflake, spark), training paths, salaries, and 4 active job listings on Ganloss.

Computer Vision Engineer careers in the United States: responsibilities, stack (computer vision, vision, opencv, detection), training paths, salaries, and 8 active job listings on Ganloss.

AI Researcher careers in the United States: responsibilities, stack (research, recherche, phd, scientist), training paths, salaries, and 19 active job listings on Ganloss.

AI Product Manager careers in the United States: responsibilities, stack (product manager, ai pm, product ia, ai product), training paths, salaries, and 6 active job listings on Ganloss.

AI Project Manager careers in the United States: responsibilities, stack (chef de projet, project manager, gestion de projet, delivery manager), training paths, salaries, and job listings on Ganloss.

Product Owner careers in the United States: responsibilities, stack (product owner, po ia, backlog, user story), training paths, salaries, and job listings on Ganloss.

Scrum Master careers in the United States: responsibilities, stack (scrum master, facilitateur agile, coach agile, scrum master ia), training paths, salaries, and job listings on Ganloss.

AI Trainer careers in the United States: responsibilities, stack (formateur, formatrice, formation, trainer), training paths, salaries, and 1 active job listings on Ganloss.

Compare US AI and data bootcamps: full-time vs part-time, GenAI/LLM tracks, typical tuition, job outcomes, and how to pair training with Ganloss job search.

SF Bay Area AI training: bootcamps, university certificates, typical costs, and local LLM/MLOps job market links on Ganloss.

Remote-friendly AI bootcamps and certificates for US candidates: LLM, data science, MLOps—costs, time commitment, and job search tips.

Step-by-step roadmap for switching into LLM, data science, or MLOps roles in the United States: skills, portfolio, networking, and first applications.

Become an SEO / GEO consultant with AI: Generative Engine Optimization, GenAI content ops, US salaries, skills, and full-time, contract, and apprenticeship listings on Ganloss.

EEOC basics, pay transparency, disability inclusion, and voluntary DEI certifications — what US employers must do, what is optional, and how to evaluate employers as a candidate.

Complete guide to writing a data scientist, LLM engineer, or MLOps résumé in the United States: structure, ATS keywords, GitHub projects, common mistakes, and free AI review. Updated 2026.

Candidate guide: prepare for US AI interviews — HR screen, technical, RAG/ML system design, case studies, questions by role (LLM, MLOps, data scientist, computer vision), and mistakes to avoid. FAQ + Ganloss listings.

Short, targeted cover letters for LLM, data science, and MLOps roles in the US. Examples and mistakes to avoid.

Practical guide to negotiating LLM, data science, and MLOps pay in the United States: prep, ranges, total comp, and sample scripts.

Find remote AI work in the United States: full remote, hybrid schedules, distributed teams, and productivity tips for LLM and data profiles.