Neuronify
Free calculator · posted pay data · New York City

AI engineer salary calculatorfor New York City

Built on the salary ranges New York AI companies are legally required to post, read from their own job boards as of September 11, 2026. Pick a level, an employer type, and a specialization; see the band, the equity, and what it all costs.

Run the numbers

Engineering level

Senior (5+ yrs) · 38 NYC postings with a range

Employer type

The observed baseline. The index reads the job boards of venture-backed NYC AI companies, so this is what they actually post.

Premiums are modeled from what NYC teams pay above generalist bands for the disciplines where a bad hire is hardest to detect.

Low end of band

P25

$181K

base salary

Posted median

MEDIAN

$208K

base salary

High end of band

P75

$223K

base salary

Base salary band and total comp

Senior (5+ yrs) · Funded AI startup · as posted

Total comp adds the midpoint option value, annualized over a four-year vest, to the posted median.

Equity (options)

EQUITY

10–35 bps

0.10%–0.35% of the company

Company stage

At a $200M valuation the midpoint grant of 22.5 bps is worth $450,000 on paper, or $112,500 a year over a four-year vest with a one-year cliff, before dilution and before the strike price.

Grant sizes are market conventions, not posted data. Postings almost never state equity. Use them to sanity-check an offer, then read how to negotiate the equity.

Your calculation

Level
Senior (5+ yrs)
Employer type
Funded AI startup
Specialization
Generalist AI application work
Adjustment applied
none
Projected base
$207,500
Posted band (P25–P75)
$181,000 – $222,500
Equity (annualized)
$112,500
Est. total comp
$320,000
Loaded cost to employer
$270,000

Base band from 38 posted ranges for senior (5+ yrs) engineering roles at NYC AI companies, snapshot of September 11, 2026. Loaded cost applies the 1.3× payroll multiplier used across Neuronify’s cost pages.

Base bands are observed. Employer, specialization, and equity figures are modeled conventions, labeled as such. Nothing here is a promise of what any one company will offer.

Where the numbers come from

Most salary calculators run on self-reported figures: whatever people typed into a form, whenever they typed it, for whatever job they said they had. This one runs on something better. Since November 2022, New York City has required employers to publish a good-faith salary range on any posting for a role performed in the city. Nearly every serious AI company complies. Neuronify’s NYC AI Hiring Index reads the job boards of 47 New York AI companies every morning, parses the range off each posting, and keeps the parsed figures after the posting disappears.

In the September 11, 2026 snapshot, 749 open roles were tagged to New York and 689 of them carried a usable range, a coverage rate of 92%. Ranges are cut by function and seniority and never blended across them, because an engineering median that includes sales roles is not a number anyone can use. Identical ranges within a company are counted once so boilerplate can’t set a median. On-target earnings are excluded, since folding commission into a base figure is how salary data becomes useless. Any cell with fewer than eight observations is dropped rather than estimated, which is why some levels may be missing from the calculator on a given day.

The calculator anchors on the engineering function only. For each posting it takes the midpoint of the range, then reports the 25th percentile, the median, and the 75th percentile of those midpoints across every posting at the selected level. The table below is the same data, rendered plainly.

Posted base salary bands for engineering roles at NYC AI companies by level
LevelPostings25th pctMedian75th pct
Mid-level (2–5 yrs)68$165,000$195,000$237,500
Senior (5+ yrs)38$180,999$207,500$222,500
Staff / Principal31$217,500$242,500$265,000
Engineering manager10$248,500$252,500$262,500
All engineering, pooled152$180,500$215,000$250,650

Posted base salary, USD, midpoint of each range. Snapshot of September 11, 2026. Updated daily; the page rebuilds with each snapshot.

How to read a posted range without fooling yourself

A posted range is a legal disclosure, not an offer. Employers post wide because the law lets them and because a wide band preserves room to hire across experience levels under one title. In practice, most offers land between the 40th and 60th percentile of the posted range. Almost nobody is hired at the top of it, and the candidates who get there usually walk in with a competing offer in hand. So when the calculator shows a median, read it as the realistic center of what a solid candidate is offered. Read the 75th percentile as the ceiling a strong candidate with leverage can reach, not a starting point.

The current snapshot has a quirk worth naming: the senior median ($207,500) sits barely above the mid-level median ($195,000). That isn’t an error. “Senior” has become the default title for most production AI hires in New York, and companies advertise a senior role while hiring across a wide experience range. The genuine step up comes at staff and principal, where the posted median is $242,500 and the top quartile starts at $265,000. If you have five or more years of production work and an offer that reads as senior, negotiate on level, not on title, because the level is where the money is.

One more thing the data can’t show: these are base figures. The upside, whether options, restricted stock, or cash bonus, almost never appears in a posting. That is why the right-hand panel of the calculator is modeled rather than observed, and why our negotiation guide spends as much time on equity as on base.

The employer adjustments, and why they’re modeled

The index reads the boards of venture-backed AI companies, so the unadjusted band is what a funded startup or scale-up posts. That is the right baseline for most people using this page, but New York is unusual in having four distinct markets competing for the same engineers, and they do not pay the same. The employer toggle applies a multiplier to the observed band to approximate the other three. These multipliers are drawn from reported offers and the sector analysis in our NYC salary guide, not from posted data, and the calculator says so every time one is applied.

Finance and quant: +30% base

Trading firms and quant funds pay the highest cash compensation in the city, with base premiums of 20 to 40% over tech and bonuses that can equal or exceed base. The calculator uses the middle of that range and swaps equity for a cash bonus band. The trade is narrower problems, brutal interviews, and work that is never public. Retention against this market is a design problem for every other NYC employer.

Big tech, NYC office: +10% base

The majors run national pay bands with a modest location uplift for New York, and the uplift has been shrinking as location-tiered pay fades. The larger difference is the upside: restricted stock rather than options, worth face value on the day it vests. The calculator switches the equity panel to RSU conventions when big tech is selected.

Enterprise and mid-market: −10% base

The widest spread of any employer type. Some enterprises pay tech-competitive rates for scarce skills; many anchor to legacy IT bands and then wonder why the search runs nine months. The multiplier reflects the center of that distribution, with a modest bonus target and little or no equity.

If your offer is from one of these employer types and it sits well outside the adjusted band, that is information. Either the role is not what the title says, or the company is paying for something the band does not capture, and it is worth finding out which before you sign.

Specialization premiums track buyer fear

Within engineering, the disciplines that earn a premium are not the fashionable ones. They are the ones where a bad hire is most expensive and hardest for a non-expert to detect in advance. Research and model training carries the largest uplift in the calculator, around 12%, because the pool is small and the work is hard to fake. ML infrastructure and platform work, AI security, evaluation engineering, and agentic systems each carry 6 to 8%: these are the disciplines where unsupervised mistakes compound and where a buyer cannot tell from a resume whether the candidate has actually done it in production.

Generalist AI application work, which includes most of what gets posted as “AI engineer,” is the baseline. Production RAG and retrieval work sits just above it, because the skill is now common enough that the premium has compressed. The premiums here are smaller than the ones in our rate calculator for independents for a reason: a salaried specialist is priced against a band, while an independent specialist is priced against the cost of the problem.

The way to actually capture a premium is evidence, not keywords. Production systems you can talk through in detail, outcomes someone will vouch for, and the ability to explain what went wrong on the last one. That is also, not coincidentally, the bar behind how we vet engineers for the network.

Reading equity in basis points

A basis point is one hundredth of one percent. A grant of 25 basis points is 0.25% of the company. Startups quote equity this way because the numbers stay legible: a senior engineer at a Series B company might see 10 to 35 basis points, a staff engineer 25 to 75, and the same roles at a seed-stage company several times that, because the company is worth a fraction as much. The calculator’s stage toggle applies those conventions and the valuation slider converts them into a dollar figure.

Treat that dollar figure with suspicion, in three specific ways. First, it is paper value at an assumed valuation, and private valuations are set by the last investor, not by a market. Second, options carry a strike price; what you eventually receive is the spread between the strike and the exit price, not the headline. Third, every subsequent funding round dilutes your stake, typically by 15 to 25% per round, and liquidation preferences mean investors are paid before you are in anything short of a strong exit. The annualized figure in the calculator divides the grant by four to match a standard four-year vest with a one-year cliff. It is a way to compare offers, not a forecast.

Restricted stock at public companies is a different instrument: worth face value on vest, usually quarterly, with annual refresh grants that matter more over time than the initial one. And in finance the upside is cash, paid as a discretionary bonus that at senior levels routinely equals base. When the calculator shows a bonus panel instead of an equity panel, that is why. The questions to ask about each structure are in the negotiation guide.

If you’re the one paying

The summary panel includes a line most salary tools leave out: loaded cost. Payroll taxes, benefits, equipment, and software add 25 to 40% on top of base in the US, and the calculator applies the 1.3× multiplier Neuronify uses consistently across its cost pages so the arithmetic on this page reconciles with the development cost estimator and the ROI calculator. At today’s posted medians that puts a senior AI engineer near $270,000 a year and a staff engineer above $315,000, before equity, before a bonus, and before the search itself, which in this market runs months against three or more open roles per qualified candidate.

That math works when you have a durable, full-time-shaped problem and the management capacity to make a senior hire productive. It does not work for a scoped build, the $25,000 to $100,000 project class, where a vetted independent engineer or boutique delivers the system without the payroll lock-in and the nine-month search. Many mid-market teams sequence it deliberately: consultants ship the first version, then a cheaper, easier-to-hire engineer maintains and extends it.

If you want the build without the search, tell us about the project. The engineers we match are drawn from exactly the New York talent pool these bands describe, and the hiring guide covers the full-time path if that is the right one.

NYC AI engineer salary calculator: common questions

How much does an AI engineer make in NYC?

Posted base ranges at New York AI companies put mid-level engineers around $200,000 at the median, senior engineers around $205,000, and staff or principal engineers around $240,000, with the middle half of each band spanning roughly $165,000 to $265,000 depending on level. Those are employer-posted figures required by the city’s pay transparency law, not self-reported survey data. Finance and quant firms pay 20–40% above these bands in cash; enterprise employers often pay 10% below.

Is this calculator based on real salary data?

The base bands are. Neuronify reads the job boards of New York AI companies every morning and parses the salary range each posting carries, which NYC law requires for roles performed in the city. Ranges are cut by function and seniority, deduplicated within a company so boilerplate cannot set a median, and any cell with fewer than eight observations is dropped. The employer-type and specialization adjustments, and the equity conventions, are modeled from market practice and labeled as such wherever they appear.

Why is the senior band so close to the mid-level band?

Because “senior” is the default title for most production AI hires in New York and the postings reflect that. Many companies advertise a senior role and hire across a wide experience range, so the posted band for senior roles overlaps heavily with mid-level. The real step up is at staff and principal, where the posted median clears $240,000 and the top of the band runs past $265,000. Negotiate on level, not on title.

How should I read a posted salary range?

Employers post wide ranges to preserve flexibility, and most offers land between the 40th and 60th percentile of the posted range rather than at the top. This calculator takes the midpoint of each posting, then reports the 25th percentile, median, and 75th percentile of those midpoints across all postings for the level. Treat the median as the realistic center of an offer and the 75th percentile as what a strong candidate with competing offers can reach.

What is a typical equity grant for an AI engineer at a NYC startup?

At a Series B company a senior engineer typically receives 10 to 35 basis points, meaning 0.10% to 0.35% of the company, vesting over four years with a one-year cliff. Seed-stage grants are larger, often 50 to 150 basis points for a senior hire, because the company is worth far less. The calculator converts a basis-point grant into a dollar figure at an assumed valuation, but that is paper value before dilution, strike price, and liquidation preferences.

What does an AI engineer actually cost an employer in NYC?

Roughly 1.3 times base salary once payroll taxes, benefits, equipment, and software are counted, which puts a senior hire near $265,000 a year and a staff engineer above $310,000, before equity and before the recruiting search. For a scoped build rather than a permanent seat, many NYC companies find a vetted independent engineer or boutique cheaper and faster. Neuronify matches both.

Know what the market pays. Now decide what to do about it.

Companies: get matched with vetted AI engineers and boutiques from the NYC pool, no recruiting fees. Engineers: join a network that prices your work on evidence.

Start a project briefEngineers: join the network