Accuracy doesn't mean impact
'Improved model accuracy by 5%' doesn't show that you saved $2M in fraud.
For ML engineers who build models but struggle to show value
Your model works. Your career is stuck.
Bridge the gap between technical brilliance and business impact.
- Translate model performance into business outcomes
- Position for ML leadership or research transitions
- Interview prep for ML/AI roles
Get My ML Business Story
For ML Engineers, AI Researchers, and Data Scientists.
Only 3 ML/AI career coaching spots this month
21 days
Average time to first interview
$47K
Average salary increase negotiated
89%
Land offers within 60 days
Steve J. Ngoumnai
Founder, Head Career Coach
The problem
ML work is often invisible to non-technical stakeholders
And they're the ones making hiring and promotion decisions.
ML interviews are all over the place
Some want LeetCode. Some want system design. Some want research. It's chaotic.
Is research or production the path?
The AI career landscape is confusing. Industry vs academia? Research vs applied?
Sound familiar?
The ML/AI job search reality
These are the conversations we have every day with ML engineers just like you.
"I improved accuracy by 5%. Nobody cared."
That 5% improvement caught $2M in fraud, but your stakeholders' eyes glazed over when you explained it. Model metrics don't translate to business impact — and that's YOUR problem to solve.
"ML interviews are completely unpredictable"
One company wants LeetCode. Another wants ML system design. A third wants you to present a paper. There's no standard ML interview format, so you can't prepare for everything.
"I don't know if I should stay in research or go applied"
Academic track? Industry research lab? Applied ML at a startup? The AI career landscape is exploding with options, and every path has trade-offs nobody explains clearly.
"My resume reads like a research paper"
Architectures, loss functions, benchmark results... You've written an abstract, not a resume. Business impact? Nowhere to be found. And that's what hiring managers actually care about.
"Production ML is harder than research, but nobody sees it"
Shipping a model to prod — handling drift, latency, scale, monitoring — is engineering. But interviewers focus on the model architecture, not the engineering that made it actually work.
"The LLM hype cycle is confusing my career"
Should you pivot to LLMs? Is classical ML still valuable? Will prompt engineering replace ML engineering? The AI hype cycle is making it hard to know where to invest.
If any of this sounds like you — you're not alone, and you're not stuck. We've helped ML engineers land Staff roles at top AI companies and translate technical brilliance into career advancement.
Success Stories
People who made the leap
from 147+ professionals
Raymond B.
Senior Software Engineer · Google
"I'd been stuck at L5 for three years. After six weeks with Askia, I had three onsites and closed at L6 with a $350K package. The system design prep alone was worth it—I walked in..."
Sasha L.
Product Engineer · Meta
"Before Askia, I was getting ghosted after every phone screen. We rewrote my resume to lead with impact, and within two weeks I had five recruiter calls scheduled. The difference..."
Neil R.
Software Engineer · Amazon
"I was ready to accept their first offer—I had no idea how to negotiate without seeming greedy. We mapped out my leverage, practiced the exact script, and I ended up $45K higher..."
Alina K.
Senior Product Manager · Microsoft
"My background was all over the place—B2B, B2C, different industries. Askia helped me find the throughline that made it all make sense. Three interviewers said I was the most..."
Jordan T.
Data Scientist · Netflix
"I had five years of scattered projects and no clear story. After one session, we turned it into a narrative about driving decisions with data. The feedback in interviews went from..."
Priya S.
Product Designer · Apple
"The portfolio review was honest—almost too honest. But we cut three projects and rebuilt my walkthrough from scratch. When I presented it, the hiring manager said it was the..."
Miguel A.
Staff Engineer · Stripe
"I was applying to 40+ jobs a week with maybe one callback. We stopped the spray-and-pray approach, built an outreach system, and within a month I had warm intros to three of my..."
Tara J.
Growth PM · Airbnb
"My response rate went from 8% to 22% after repositioning my LinkedIn headline and summary. Same experience, totally different framing. Recruiters started reaching out for roles I..."
Kevin D.
Frontend Engineer · Shopify
"Four months of silence on LinkedIn. Then we overhauled my profile and resume together—within a week I had my first inbound message from a recruiter at a company I'd been eyeing...."
Rina M.
Solutions Architect · Salesforce
"I kept getting rejected for leadership roles because I sounded too technical. Askia helped me reframe everything around strategic impact. The hiring manager later told me my..."
Evan P.
Design Manager · Adobe
"I'd ramble for five minutes on every behavioral question. After three mock sessions, I had tight two-minute stories with clear structure. The interviewers started nodding along..."
Camila V.
Product Analyst · Uber
"I was offered a lateral move initially. After we built my case for promotion—concrete metrics, leadership examples, market data—I countered and got the senior title with a $38K..."
Omar H.
Platform Engineer · Spotify
"Cold outreach was getting me nowhere—maybe one reply for every 50 messages. Askia gave me a template that actually worked. Three weeks later, I had coffee chats with engineers at..."
Lena Q.
Product Designer · Figma
"I'd failed three final rounds in a row and was starting to think something was fundamentally wrong with me. After six mock interviews with Askia, I understood exactly where I was..."
Miles S.
Backend Engineer · Notion
"I was burning out applying to everything. Askia helped me build a system—targeted companies, warm outreach, weekly check-ins. It felt sustainable for the first time. Landed an..."
Isabelle C.
Engineering Manager · Atlassian
"Transitioning from IC to manager felt impossible—I kept getting passed over. Askia helped me articulate my leadership impact in a way that made sense to hiring committees. Within..."
Noah G.
Developer Advocate · GitHub
"My answers were all over the place—five minutes on something that needed thirty seconds. Askia gave me a framework: setup, action, result, reflection. Now every story has punch...."
Hannah W.
Customer Success Lead · Slack
"I was interviewing at six companies simultaneously and losing track of everything. Askia helped me prioritize, prep smarter, and close the one I actually wanted. Turned three..."
Diego R.
Security Engineer · Zoom
"I'd never negotiated before and was terrified of losing the offer. We role-played the conversation three times until I felt bulletproof. Asked for $35K more than they offered. They..."
Maya N.
Technical Program Manager · Oracle
"The resume rewrite made me realize I'd been underselling myself for years. We quantified everything—scope, team size, business impact. Recruiters started reaching out for roles I'd..."
Vikram P.
Machine Learning Engineer · NVIDIA
"I kept getting stuck explaining technical details instead of business outcomes. Askia taught me to lead with the 'so what'—revenue impact, time saved, decisions enabled. The shift..."
Lauren D.
Product Manager · LinkedIn
"I was getting callbacks but bombing final rounds. Turns out I was answering questions like an IC, not a PM. After three sessions focused on strategic framing, I went 3-for-3 on..."
Arjun S.
Backend Engineer · Snowflake
"System design interviews terrified me. Askia broke it down into a repeatable framework—requirements, estimation, architecture, trade-offs. Practiced it until it felt natural...."
Chloe H.
Data Analyst · Pinterest
"Everyone kept telling me I needed more experience to break into tech. Askia showed me how to position my non-tech background as an asset—different perspectives, fresh thinking. Got..."
Marcus J.
DevOps Engineer · Databricks
"My resume was a wall of tools and technologies. Askia helped me rewrite it around reliability outcomes—uptime improved, incidents reduced, deployments accelerated. Started getting..."
Sofia R.
Mobile Engineer · DoorDash
"I'd wing it in behavioral interviews and hope for the best. Askia made me build a story bank—eight polished examples I could adapt to any question. Now I walk in knowing exactly..."
Amir K.
Product Designer · Dropbox
"My portfolio was a random collection of projects. Askia helped me curate it around a clear theme—systems thinking and user advocacy. The hiring manager said it was the most..."
Grace T.
Analytics Lead · Intuit
"I was great at SQL but terrible at explaining why my analysis mattered. Askia taught me to frame everything as business decisions enabled. Now I lead with impact, and executives..."
Diego M.
FinTech Engineer · PayPal
"I had no idea what I was worth. Askia pulled comp data, helped me set a target, and coached me through the conversation. Ended up $40K above my initial expectation with better..."
Riya V.
Growth Engineer · Coinbase
"I was applying everywhere and getting nowhere. Askia made me pick 15 target companies, research them properly, and tailor my approach. Closed two offers from that list within six..."
Raymond B.
Senior Software Engineer · Google
"I'd been stuck at L5 for three years. After six weeks with Askia, I had three onsites and closed at L6 with a $350K package. The system design prep alone was worth it—I walked in..."
Sasha L.
Product Engineer · Meta
"Before Askia, I was getting ghosted after every phone screen. We rewrote my resume to lead with impact, and within two weeks I had five recruiter calls scheduled. The difference..."
Neil R.
Software Engineer · Amazon
"I was ready to accept their first offer—I had no idea how to negotiate without seeming greedy. We mapped out my leverage, practiced the exact script, and I ended up $45K higher..."
Alina K.
Senior Product Manager · Microsoft
"My background was all over the place—B2B, B2C, different industries. Askia helped me find the throughline that made it all make sense. Three interviewers said I was the most..."
Jordan T.
Data Scientist · Netflix
"I had five years of scattered projects and no clear story. After one session, we turned it into a narrative about driving decisions with data. The feedback in interviews went from..."
Priya S.
Product Designer · Apple
"The portfolio review was honest—almost too honest. But we cut three projects and rebuilt my walkthrough from scratch. When I presented it, the hiring manager said it was the..."
Miguel A.
Staff Engineer · Stripe
"I was applying to 40+ jobs a week with maybe one callback. We stopped the spray-and-pray approach, built an outreach system, and within a month I had warm intros to three of my..."
Tara J.
Growth PM · Airbnb
"My response rate went from 8% to 22% after repositioning my LinkedIn headline and summary. Same experience, totally different framing. Recruiters started reaching out for roles I..."
Kevin D.
Frontend Engineer · Shopify
"Four months of silence on LinkedIn. Then we overhauled my profile and resume together—within a week I had my first inbound message from a recruiter at a company I'd been eyeing...."
Rina M.
Solutions Architect · Salesforce
"I kept getting rejected for leadership roles because I sounded too technical. Askia helped me reframe everything around strategic impact. The hiring manager later told me my..."
Evan P.
Design Manager · Adobe
"I'd ramble for five minutes on every behavioral question. After three mock sessions, I had tight two-minute stories with clear structure. The interviewers started nodding along..."
Camila V.
Product Analyst · Uber
"I was offered a lateral move initially. After we built my case for promotion—concrete metrics, leadership examples, market data—I countered and got the senior title with a $38K..."
Omar H.
Platform Engineer · Spotify
"Cold outreach was getting me nowhere—maybe one reply for every 50 messages. Askia gave me a template that actually worked. Three weeks later, I had coffee chats with engineers at..."
Lena Q.
Product Designer · Figma
"I'd failed three final rounds in a row and was starting to think something was fundamentally wrong with me. After six mock interviews with Askia, I understood exactly where I was..."
Miles S.
Backend Engineer · Notion
"I was burning out applying to everything. Askia helped me build a system—targeted companies, warm outreach, weekly check-ins. It felt sustainable for the first time. Landed an..."
Isabelle C.
Engineering Manager · Atlassian
"Transitioning from IC to manager felt impossible—I kept getting passed over. Askia helped me articulate my leadership impact in a way that made sense to hiring committees. Within..."
Noah G.
Developer Advocate · GitHub
"My answers were all over the place—five minutes on something that needed thirty seconds. Askia gave me a framework: setup, action, result, reflection. Now every story has punch...."
Hannah W.
Customer Success Lead · Slack
"I was interviewing at six companies simultaneously and losing track of everything. Askia helped me prioritize, prep smarter, and close the one I actually wanted. Turned three..."
Diego R.
Security Engineer · Zoom
"I'd never negotiated before and was terrified of losing the offer. We role-played the conversation three times until I felt bulletproof. Asked for $35K more than they offered. They..."
Maya N.
Technical Program Manager · Oracle
"The resume rewrite made me realize I'd been underselling myself for years. We quantified everything—scope, team size, business impact. Recruiters started reaching out for roles I'd..."
Vikram P.
Machine Learning Engineer · NVIDIA
"I kept getting stuck explaining technical details instead of business outcomes. Askia taught me to lead with the 'so what'—revenue impact, time saved, decisions enabled. The shift..."
Lauren D.
Product Manager · LinkedIn
"I was getting callbacks but bombing final rounds. Turns out I was answering questions like an IC, not a PM. After three sessions focused on strategic framing, I went 3-for-3 on..."
Arjun S.
Backend Engineer · Snowflake
"System design interviews terrified me. Askia broke it down into a repeatable framework—requirements, estimation, architecture, trade-offs. Practiced it until it felt natural...."
Chloe H.
Data Analyst · Pinterest
"Everyone kept telling me I needed more experience to break into tech. Askia showed me how to position my non-tech background as an asset—different perspectives, fresh thinking. Got..."
Marcus J.
DevOps Engineer · Databricks
"My resume was a wall of tools and technologies. Askia helped me rewrite it around reliability outcomes—uptime improved, incidents reduced, deployments accelerated. Started getting..."
Sofia R.
Mobile Engineer · DoorDash
"I'd wing it in behavioral interviews and hope for the best. Askia made me build a story bank—eight polished examples I could adapt to any question. Now I walk in knowing exactly..."
Amir K.
Product Designer · Dropbox
"My portfolio was a random collection of projects. Askia helped me curate it around a clear theme—systems thinking and user advocacy. The hiring manager said it was the most..."
Grace T.
Analytics Lead · Intuit
"I was great at SQL but terrible at explaining why my analysis mattered. Askia taught me to frame everything as business decisions enabled. Now I lead with impact, and executives..."
Diego M.
FinTech Engineer · PayPal
"I had no idea what I was worth. Askia pulled comp data, helped me set a target, and coached me through the conversation. Ended up $40K above my initial expectation with better..."
Riya V.
Growth Engineer · Coinbase
"I was applying everywhere and getting nowhere. Askia made me pick 15 target companies, research them properly, and tailor my approach. Closed two offers from that list within six..."
Ready to accelerate your career?
Book a free strategy call and leave with a clear action plan.
How It Works
How we get you there
1
Find your impact
We trace your ML work to business outcomes and quantify what it enabled.
2
Choose your path
Research, applied ML, leadership? We help you clarify and position.
3
Tell the story
Resume, LinkedIn, and interview prep that shows business-aware ML thinking.
Deliverables
What you actually get
ML-specific career support.
Impact Translation
Connect ML work to business outcomes.
Business Story
Resume and LinkedIn that shows ML business thinking.
Interview Prep
ML interview readiness across formats.
Your Coach
Steve understands ML impact
ML work can feel abstract in interviews. I help AI/ML engineers connect model improvements to business outcomes — revenue, efficiency, user experience. Your technical depth has massive value. Let's prove it.
30+ ML engineers coached
Staff ML+ level-ups
$62K avg. comp increase
This is for you if
You've built real ML systems and want real recognition.
- Your resume sounds like a research paper
- You can't explain ML impact to non-technical people
- You want to move to ML leadership or research
- ML interviews confuse you with their inconsistency
This probably isn't for you if
We work with experienced ML practitioners.
- You're learning ML fundamentals
- You want technical ML training
- You're looking for algorithm prep
Questions ML engineers usually ask
Direct answers.
How do I quantify ML impact when my work is 'accuracy improvement'?
Trace accuracy to business outcomes: 'Improved fraud detection accuracy by 5%, catching an additional $2M in fraud annually' or 'Reduced model latency by 40%, improving user conversion by 3%.' Every model metric connects to something business cares about — we help you find that connection.
Should I pursue research or applied ML?
Research (academia or industry labs) emphasizes novelty and publications. Applied ML emphasizes shipping and business impact. Research typically pays less early but can be prestigious. Applied typically pays more and has clearer career ladders. Choose based on what energizes you, not just comp.
How do I explain ML to non-technical interviewers?
Lead with the problem and outcome, not the solution: 'Our recommendation system was showing irrelevant products. I built a model that personalized recommendations based on user behavior, increasing purchase rate by 15%.' The model is the how, not the what.
How do I prepare for ML interviews when every company is different?
Most ML interviews have 4 components: coding (LeetCode-style), ML system design (end-to-end), ML fundamentals (theory questions), and behavioral. Weight varies by company. Research target companies on levels.fyi or Glassdoor, and prepare all four areas.
Is production ML experience valued more than research experience?
Depends on the role. Applied ML roles value production experience highly — deployment, monitoring, scale. Research roles value publication record and novelty. Most industry roles want some production experience. We help you position whatever you have.
Should I pivot to LLMs/GenAI or stay in classical ML?
Classical ML isn't going away — recommendations, fraud, forecasting still need it. LLM/GenAI skills are hot now but the landscape is volatile. The best strategy: understand both, but don't abandon proven expertise for hype. We help you position your skills for the current market.
How do I compete against candidates with PhDs?
PhDs signal research depth but aren't required for most applied ML roles. Industry experience shipping ML to production can outweigh academic credentials. If you've built systems that actually work at scale, that's valuable. We help you tell that story effectively.
What's the ML career ladder? IC vs management?
ML IC tracks typically go: MLE → Senior MLE → Staff MLE → Principal MLE → Distinguished. Management goes: ML Lead → ML Manager → Director of ML → VP of AI. IC track at top companies pays as well as management. Choose based on whether you want to build or lead builders.
How do I show production ML skills in interviews?
Tell stories about deployment challenges you solved: model serving, latency optimization, data pipeline issues, monitoring/alerting, retraining infrastructure. Production ML is engineering — show you've dealt with the real-world messiness that research ignores.
Is it too late to break into ML/AI if I'm coming from software engineering?
No — SWE → MLE is common. Your engineering skills are valuable; many MLEs are weak on production systems. Bridge the gap with: online courses, personal projects, or internal transitions. Your SWE background is an asset, not a liability.
"Within 3 weeks I had 4 interviews lined up. Steve completely changed how I talk about my work."
★★★★★ — Marcus T., Senior Engineer → Staff at FAANGYour model drove $2M in savings. Does anyone know that?
ML engineers who can translate accuracy into ROI get promoted. Let's get you there.
Join 147+ professionals who've accelerated their careers
Get My ML Business Story
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