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OUR STORY
TechInsights is the information Platform for the semiconductor industry.
Regarded as the most trusted source of actionable, in\-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights’ content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future.
Over 650 companies and 150,000 users access the TechInsights Platform, the world’s largest vertically integrated collection of unmatched reverse engineering, teardown, and market analysis in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights’ customers include the most successful technology companies who rely on TechInsights’ analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit www.techinsights.com.
WHY WORK WITH US* Company\-sponsored training and development opportunities
- Comprehensive benefits package (health, dental, vision, wellness, pension contributions, annual fitness reimbursement)
- Flexible vacation policy
- Trusted device reimbursement program
- Community involvement opportunities through charitable alliances: https://www.techinsights.com/community\-involvement
- Wellness resources and support
- Inclusive environment that prioritizes diversity, equity, and accessibility
- High\-growth company driven by high performance
THE OPPORTUNITY
The Senior AI Market Intelligence Analyst is a strategic contributor within TechInsights' AI semiconductor practice, focusing on the fast\-moving AI compute and semiconductor landscape. Utilizing their experience and network in the AI compute and semiconductor landscape, the incumbent independently drives high\-impact research and analysis, leveraging TechInsights' proprietary intelligence — including teardown analysis, technical costing, and demand intelligence — to deliver original, market\-defining insights across Datacenter AI trends, Edge AI (PC, Tablet, Mobile, Wearable, Consumer Electronics), and Physical AI (Robotics).
Operating with a high degree of autonomy, this individual owns end\-to\-end research coverage across assigned domains: defining analytical frameworks, setting research agendas, and delivering data\-driven authoritative insight that directly informs client decision\-making at the executive level. The analyst plays a formative role in shaping the team's intellectual direction, establishing methodological best practices, and elevating the overall quality and credibility of the practice's output. They collaborate closely with practice leadership to identify emerging coverage areas, develop new research offerings, and influence TechInsights' long\-term AI intelligence strategy.
This individual is a highly visible, credible voice for TechInsights in the broader market: presenting at conferences and trade shows, leading panels, engaging proactively with media and industry stakeholders, and driving the practice's brand authority across the TechInsights Platform. They independently cultivate and deepen client relationships, serving as a primary point of contact.
WHAT YOU’LL DO
*AI Research and Production** Lead coverage of AI Model/Compute Trends, Edge AI, and Physical AI delivering authoritative intelligence with full accountability for quality and impact, defining research priorities with practice leadership
- Lead the team's core deliverables, including data collection, conducting expert interviews, and synthesizing quantitative and qualitative intelligence into high\-conviction, market\-defining narratives
- Deliver timely, incisive event\-driven analysis on market\-moving AI and compute announcements, establishing TechInsights as an authoritative voice
- Author flagship research that leverages TechInsights' exclusive firsthand intelligence, proprietary data, and analyst community — setting the standard for depth, originality, and analytical rigor for the practice
- Serve as a senior editorial and quality authority across compute and AI coverage areas, establishing and upholding standards for analytical quality, consistency, and intellectual integrity
- Independently research, write, and publish high\-impact analysis across compute and AI coverage domains, building recognized and cited work
*Audience Development** Build and steward a high\-value network of industry contacts, journalists, and conference organizers — proactively generating organic thought\-leadership opportunities and positioning TechInsights' AI research for the market
- Drive TechInsights' AI coverage visibility through a commanding, consistent presence across social media and owned media channels — setting the tone, cadence, and editorial standard for practice’s external voice
- Craft compelling, authoritative narratives that distill complex technical analysis into sharp, accessible insights for clients, media, analysts, and the broader investment and technology community
- Represent TechInsights at premier industry events — operate as a recognized and sought\-after authority across the semiconductor ecosystem, representing TechInsights as a leading intelligence brand, and establishing a differentiated presence in the AI compute community
*Customer Engagement** Own client relationships on your work, independently prioritizing and responding to client requests, leading recurring customer meetings, and delivering forecast updates and expert commentary that drive measurable client satisfaction and retention
- Partner with sales leadership, leading high\-stakes presentations, articulating the value of TechInsights' AI research, and directly supporting new business development and renewals
- Represent TechInsights as a senior ambassador \- convening conversations, surfacing actionable market intelligence on competitive positioning and client priorities, and translating field intelligence into strategic recommendations for the practice
WHAT YOU’LL BRING* Brings deep, applied expertise in semiconductors and technology ecosystems built through years of hands\-on research, industry engagement, and a genuine passion for the field that drives continuous self\-directed learning well beyond formal training
- Tackles complex, ambiguous problems independently. Pursues knowledge with relentless intellectual curiosity and strategic intent, asks the questions others won't, builds the trust and rapport needed to unlock insights that aren't publicly available, and consistently surfaces intelligence that yields competitive advantage
- Maintains a high\-value, established professional network spanning the AI compute and semiconductor ecosystem, media, press, and analyst communities — actively cultivating relationships that translate into exclusive access, early signals, and visible thought\-leadership opportunities
- Synthesizes complex information from multiple primary and secondary sources into clear, high\-conviction conclusions — exercising independent analytical judgment and advising practice leadership on strategic implications.
- Communicates with authority and precision — a compelling writer and confident presenter who crafts narratives that resonate with technical and non\-technical audiences alike, and who is recognized internally and externally as a credible, engaging voice on technology intelligence.
- Operates fluently and effectively across multicultural and multilingual environments; brings an informed, nuanced perspective on geopolitics and AI sovereignty, and integrates these dynamics into research and client conversations as a core analytical lens
- English speaker, ideally mastering one or two extra European languages – French and German. Notions of Asian languages to ease communication with teams and networks in the eastern regions are a welcome asset.
*As part of the recruitment process for this position, you will be required to submit your latest citizenship and/or permanent residency information. This information will be used to comply with U.S. Export Control Laws and Regulations.*
WORKING ARRANGEMENT
This role is based in any of the European countries.* Remote position
- Willing to travel for events, conferences, and relationship\-building
Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We’re committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.
TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.
As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: https://www.techinsights.com/privacy\-policy.
Technology knows no bounds, and neither does TechInsights. Bringing together talented humans from different perspectives, backgrounds and abilities is something we take seriously. We’re committed to building an inclusive environment that welcomes you to be your authentic self and allows us to push past the boundaries together.
TechInsights is committed to meeting the needs of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
AI technology may be used to assist in the screening and assessment of applications for this position. Our recruiters are involved at every stage, and all hiring decisions are made by People and hiring teams.
As part of any recruitment process, TechInsights collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. Our Privacy policy can be referenced here: https://www.techinsights.com/privacy\-policy
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Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 4,317 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At TechInsights, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $214,900 based on 6,420 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
TechInsights AI Hiring
TechInsights has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Remote, US.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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