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AI CAREER - HOW TO GET THE AI JOB
LLM SCIENTIST
LLM SCIENTIST
An LLM Scientist designs, develops, and optimizes large language models through research and experimentation with architectures, training methodologies, fine-tuning techniques, and evaluation frameworks to advance AI capabilities for enterprise and research applications. Entry-level positions (0-2 years) typically start at $120,000-$160,000, mid-level roles (3-5 years) range from $160,000-$250,000, senior positions (6-10 years) command $250,000-$400,000, and principal/staff scientists (10+ years) can earn $400,000-$600,000+ including equity at top tech companies.
AI Machine Learning Ops Engineer
AI Machine Learning Ops Engineer
AI Machine Learning Engineer
AI Machine Learning Engineer
A Machine Learning Engineer builds and maintains the data infrastructure and pipelines needed to support scalable ML model training, feature engineering, and deployment. They collaborate with data scientists and software engineers to productionize models, implement monitoring (e.g., for data quality and drift), and ensure the ML systems are reliable and performant. Essential skills include strong programming (often Python), experience with data platforms (Spark, Hadoop, SQL/NoSQL), and knowledge of ML frameworks and MLOps tools. In the U.S., their annual salary typically range $95,000-$130,000 (0-3 years), $130,000-$180,000 (3-7 years), and $180,000-$250,000+ (7+ years as Senior/Staff). They work on algorithm optimization, model training pipelines, and integration with existing software infrastructure while ensuring models perform reliably at scale.
AI ML Solutions Architect
AI ML Solutions Architect
AI/ML Solutions Architect designs end-to-end machine learning systems for enterprise clients, translating business problems into scalable AI architectures while balancing technical feasibility, cost, performance, and organizational capabilities, earning $115,000-$160,000 (0-3 years) as Associate/Junior Solutions Architect learning enterprise architecture patterns and client engagement, $160,000-$220,000 (3-7 years) as Solutions Architect independently designing complex ML systems and leading technical pre-sales, $220,000-$280,000 (7-12 years) as Senior/Principal Solutions Architect defining architecture standards and mentoring teams, and $280,000-$400,000+ (12+ years) as Distinguished Architect or Director setting organizational AI strategy and architecting transformational initiatives across entire enterprises.
AI ML Database Engineer
AI ML Database Engineer
An ML Database Engineer designs, optimizes, and maintains database systems that support machine learning workflows, combining expertise in database architecture with ML infrastructure to ensure efficient data pipelines, model training storage, and feature stores, typically earning $95,000-$130,000 for entry-level (0-2 years), $130,000-$175,000 for mid-level (3-5 years), and $175,000-$250,000+ for senior-level (6+ years) positions.
AI Compute Systems Engineer
AI Compute Systems Engineer
An AI Compute Systems Engineer designs, optimizes, and manages high-performance computing infrastructure specifically for AI/ML workloads, including GPU clusters, distributed training systems, and inference optimization, typically earning $110,000-$145,000 for entry-level (0-2 years), $145,000-$190,000 for mid-level (3-5 years), and $190,000-$280,000+ for senior-level (6+ years) positions at major tech companies.
ML Ops Engineer
ML Ops Engineer
An MLOps Engineer builds, automates, and maintains the infrastructure and pipelines that enable machine learning models to move from development to production at scale, combining software engineering, DevOps practices, and ML knowledge to create reliable, reproducible, and efficient ML systems, typically earning $115,000-$150,000 for entry-level (0-2 years), $150,000-$200,000 for mid-level (3-5 years), and $200,000-$300,000+ for senior-level (6+ years) positions at major tech companies.
AI Infrastructure Engineer
AI Infrastructure Engineer
An AI Infrastructure Engineer designs, builds, and maintains the foundational systems and platforms that enable AI/ML development and deployment at scale, managing compute resources, data pipelines, model serving infrastructure, monitoring systems, and cloud platforms while optimizing for performance, cost, and reliability, typically earning $125,000-$165,000 for entry-level (0-2 years), $165,000-$220,000 for mid-level (3-5 years), and $220,000-$350,000+ for senior-level (6+ years) positions at major tech companies.
AI Prompt Engineer
AI Prompt Engineer
An AI Prompt Engineer designs, tests, and optimizes prompts and interactions with large language models to maximize output quality, reliability, and safety, developing systematic methodologies for prompt engineering, creating evaluation frameworks, building prompt libraries, and enabling teams across organizations to effectively leverage AI capabilities, typically earning $90,000-$130,000 for entry-level (0-2 years), $130,000-$180,000 for mid-level (3-5 years), and $180,000-$250,000+ for senior-level (6+ years) positions at AI-forward companies.
AI Product Manager
AI Product Manager
An AI Product Manager defines and executes product strategy for AI-powered features and products, bridging technical AI/ML capabilities with user needs and business objectives, translating between engineering teams and stakeholders while managing the full product lifecycle from ideation through launch and iteration, typically earning $120,000-$160,000 for entry-level (0-2 years), $160,000-$220,000 for mid-level (3-5 years), and $220,000-$350,000+ for senior-level (6+ years) positions at major tech companies.
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Jazz
$10
LLM SCIENTIST
$27
AI Infrastructure Engineer
$27
AI Prompt Engineer
$27
AI Research Engineer
$27
ML Ops Engineer
$27
AI Product Manager
$27
AI Compute Systems Engineer
$27
AI ML Database Engineer
$27
AI ML Solutions Architect
$27
AI Machine Learning Engineer
$27
AI Model Optimization Engineer
$27
AI Machine Learning Ops Engineer
$27
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