AI Research Scientist.
Minneapolis.
$214,000
median salary, 7% above the national average
$161,000 to $278,000. Last updated April 2026.
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Data points to own the conversation.
A AI Research Scientist in Minneapolis earns a median of $214,000 in 2026. That is 7% above the national average. The range runs from $161,000 to $278,000, and where you land depends on your experience, your skills, and how well you negotiate. Publication record at top venues (NeurIPS, ICML, ICLR), novelty of research contributions, and ability to translate research into product impact are the primary factors.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $193,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$139,000
to $171,000
Mid (3-5 yrs)
$182,000
to $225,000
Senior (6-9 yrs)
$235,000
to $278,000
Lead (10+ yrs)
$268,000
to $332,000
Salary trend
+10% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $105,000 to the total package.
Base
$214,000
Equity
$64,000
Bonus
$28,000
Signing
$13,000
Estimated total: $319,000
AI Research Scientist salary by company
Total compensation estimates include base, equity, bonus, and signing. Ranges reflect mid to senior level. Derived from public H-1B LCA filings, SEC proxy statements, and aggregated self-reported data.
How Minneapolis compares
Minneapolis, MN
$214,000
Cost of living: 5% above average
National Average
$200,000
Minneapolis is $14,000 above
AI Research Scientist salary by city
Salary by role in Minneapolis
What you should know
The AI Research Scientist landscape in Minneapolis is not what most salary sites will tell you. Minneapolis is a Fortune 500 powerhouse with Target, UnitedHealth Group, Best Buy, and 3M headquartered in the metro. The city's strong corporate base creates consistent demand across finance, healthcare, retail tech, and supply chain roles. Quality of life is high, and employers offer competitive salaries to offset the cold winters. Publication record at top venues (NeurIPS, ICML, ICLR), novelty of research contributions, and ability to translate research into product impact are the primary factors. Scientists with foundational contributions to active areas like alignment, scaling laws, or multimodal learning are exceptionally sought after. The scarcity of qualified researchers keeps competition for talent intense.
Research scientists (with PhD) start at $150,000 to $200,000, reaching senior scientist at $220,000 to $300,000 in three to five years. Staff research scientists earn $300,000 to $450,000. Distinguished scientists and research directors at leading labs can exceed $600,000 to $1,000,000+ in total compensation. In Minneapolis, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Equity at AI labs can represent 40 to 60% of total compensation, with grants of $100,000 to $300,000+ annually at top labs. Bonuses of 20 to 30% are common. Benefits include generous compute budgets, sabbatical programs, publication incentives, and funding for personal research agendas. And on the tax side: minnesota's top income tax rate is 9.85%, one of the highest state rates. There is no city income tax in Minneapolis, but the state burden significantly reduces take home pay. When someone quotes you $214,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Emphasize retention risk when negotiating. Minneapolis employers know that remote opportunities from warmer, lower tax states are a constant competitive threat. The range for AI Research Scientists in Minneapolis runs from $161,000 to $278,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
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