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Salaried Parisi Jobs (NOW HIRING)

Parisi Labs

ML Data Platform Engineer

New York, NY · On-site

$175K - $245K/yr

Compensation And Benefits Base salary range: $175K-$245K, plus meaningful early-stage equity. Parisi Labs provides medical and dental benefits. Final compensation depends on level, location ...

Parisi Labs

ML Data Platform Engineer

Manhattan, NY · On-site

$175K - $245K/yr

Compensation And Benefits Base salary range: $175K-$245K, plus meaningful early-stage equity. Parisi Labs provides medical and dental benefits. Final compensation depends on level, location ...

Parisi Labs

Founding Engineer, Applied AI

New York, NY · On-site

$225K - $290K/yr

About Parisi Labs Parisi Labs is an AI research and product company building systems that ... Compensation The base salary range is $225,000-$290,000 per year, plus meaningful early equity.

Parisi Labs

ML Research Scientist

Boston, MA · On-site

$210K - $275K/yr

About Parisi Labs Parisi Labs is an AI company building learning systems for complex physical ... Compensation And Benefits Base salary range: $210K-$275K, plus meaningful early-stage equity ...

Parisi Labs

Machine Learning Research Engineer

Boston, MA · On-site

$210K - $275K/yr

About Parisi Labs Parisi Labs is an AI company building learning systems for complex physical ... Compensation And Benefits Base salary range: $210K-$275K, plus meaningful early-stage equity ...

Parisi Labs

Founding Commercial Lead, Energy

New York, NY · On-site

$48K - $62K/yr

About Parisi Labs Parisi Labs is building world models for physical industry, starting with power ... Base salary: $120,000-$178,000 per year. * Meaningful early-stage equity. * Medical and dental ...

Worky

Founding Engineer, Applied AI

Manhattan, NY · On-site

$225K - $290K/yr

About Parisi Labs Parisi Labs is an AI research and product company building systems that ... Compensation The base salary range is $225,000-$290,000 per year, plus meaningful early equity.

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How much do salaried parisi jobs pay per year?

As of Sep 11, 2026, the average yearly pay for salaried parisi in the United States is $73,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $91,000.00 per year, depending on experience, location, and employer.

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Salaried Parisi jobs near you
Infographic showing various Salaried Parisi job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $73,966 per year, or $35.6 per hour.

ML Data Platform Engineer

New York, NY • On-site

Parisi Labs
See more jobs at Parisi Labsexternal

$175K - $245K/yr

Full-time

Medical, Dental

Posted 8 days ago

Job description

About Parisi Labs
Parisi Labs is an AI company building learning systems for complex physical environments. We combine historical and live data with real operational context to help people understand the present, evaluate possible futures, and make better decisions.
Energy is our first proving ground. Ask The Grid (https://askthegrid.com) is our public product for exploring the systems, markets, and assets that make up the power grid. We are a small technical team working across machine learning, data infrastructure, software, and real-world operations.
About The Role
We are looking for an ML Data Platform Engineer to make the data behind our models and products dependable, understandable, and easy to use.
This role sits where data engineering meets machine learning. You will turn messy, changing real-world sources into durable datasets and interfaces that researchers, product engineers, and customer-facing technical teams can trust. The goal is not to build a large platform for its own sake. It is to make each new model, product surface, and authorized data source faster to bring online without compromising correctness.
What You Will Own
  • Build and improve ingestion, backfill, validation, and observability for high-volume, time-dependent data.
  • Define clear data contracts and point-in-time semantics for model training, evaluation, and product use.
  • Create reusable workflows for bringing new public and customer-authorized sources into the system.
  • Build quality, lineage, freshness, and access controls that make data trustworthy in repeated use.
  • Develop efficient datasets and query interfaces for machine-learning and product workloads.
  • Diagnose whether failures originate in source data, transformations, model inputs, or serving systems.
  • Work closely with research and product engineers so data requirements become reliable software, not recurring manual projects.
  • Exercise judgment about which abstractions should become durable infrastructure and which should remain purpose-built.

First 90 Days
  • 30 days: Understand the data lifecycle behind Ask The Grid and our ML work; identify the most consequential reliability and usability gaps.
  • 60 days: Ship a reusable ingestion, backfill, validation, or dataset primitive used in active product or research work.
  • 90 days: Own a dependable end-to-end data workflow, with documented contracts, quality checks, and clear operational visibility.

Requirements
You May Be A Fit If
  • You enjoy making difficult real-world data useful, not merely moving it between systems.
  • You understand how warehouse or streaming data becomes training, evaluation, and product data.
  • You care about temporal correctness, reproducibility, leakage, lineage, and source rights.
  • You can design practical systems without reaching immediately for a large-company platform.
  • You are comfortable debugging incomplete APIs, changing schemas, and surprising data behavior.
  • You communicate clearly with researchers, product engineers, and customer-facing teammates.
  • You want substantial ownership on a small team and can make progress without a mature data organization around you.

Helpful Background
  • Strong Python and SQL experience.
  • Experience with data engineering, ML data systems, dataset engineering, platform engineering, or high-quality analytics engineering.
  • Experience with object storage, warehouses, streaming or workflow systems, columnar formats, APIs, and data-quality tooling.
  • Experience preparing data for model training, evaluation, or scientific computing.
  • Familiarity with time-series, geospatial, weather, market, event, or other temporally sensitive data is useful.
  • Startup or small-team experience is helpful, but evidence of unusually strong ownership matters more than a particular company background.

Benefits
Location And Working Style
New York City or Boston/Cambridge. We work together in person regularly and will choose the home office based on the strongest candidate and their closest collaborators.
Compensation And Benefits
Base salary range: $175K-$245K, plus meaningful early-stage equity. Parisi Labs provides medical and dental benefits. Final compensation depends on level, location, experience, and role scope.
Interview Process
  1. Founder conversation with the CTO.
  2. Technical working session on a representative data-platform problem.
  3. Collaboration conversation with a research or product teammate.
  4. In-person final.
  5. Offer review.

Apply