US Browse · New York · Machine Learning Engineer
Point72
$175,000-$250,000 py
Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk
Point72 Asset Management LP
$175,000-$250,000 py
Contribute to projects across various machine learning disciplines, including NLP, unstructured data analysis, predictive modeling, and classic machine learning
PsychoGenics Inc
~$127,900 – $260,600 py
The role involves developing AI-enabled platforms to support clinical development and improve treatment response quantification
~$127,900 – $260,600 py
Work on the full machine learning model lifecycle from design and training to deployment and serving in production at scale
Etsy
$153,000.00 - $199,000.00 py
Work on advanced machine learning technologies to detect and prevent risk and fraud on Etsy
Estée Lauder
$119,300.00 to $196,600.00 py
As a Staff Machine Learning Engineer, you're a player-coach: a strong hands-on contributor who also sets standards, reviews others' work, authors the designs others build against, and mentors the team
Paramount Group Inc
$130,200.00 - 195,300.00 py
You will help build models that select which channels appear in the guide and how content is scheduled to maximize viewer session length
Paramount Group Inc
$146,160.00 - 219,240.00 py
You will lead the design of complex scheduling and ranking features in our GCP-based stack
Newmark Group
~$127,900 – $260,600 py
Collaborate with a cross-functional team to build, evaluate, and improve AI-powered financial services applications
Unity
$112,700 py
Design and build next-generation recommendation models incorporating LLMs, RLHF, and preference learning
Unity Technologies
$112,700 py
Design, build, and evaluate next-generation ranking and recommendation models incorporating LLMs, RLHF, and preference learning
$139,000 - $229,000 py
Design, build, and productionize ML systems powering LinkedIn’s ad platform
$139,000 - $229,000 py
You will design, build, and productionize ML systems powering LinkedIn’s ad platform — working end-to-end from problem formulation and data exploration to model training, evaluation, and deployment
WorldQuant
$150,000 - $200,000 usd py
WorldQuant develops systematic financial strategies using predictive signals and market inefficiencies
Quantumundo
$150,000 - $200,000 usd py
WorldQuant develops systematic financial strategies using predictive signals and market inefficiencies
Paramount Group Inc
$130,200.00 - 195,300.00 py
Paramount Group Inc looks for a +3y experience machine learning engineer with Presentation And Visual Optimization
Paramount Group Inc
$245,280.00 - 367,920.00 py
Paramount Group Inc looks for a +8y experience principal machine learning engineer with Short-form
Citi
$142,320.00 - $213,480.00 py
The role involves architecting end-to-end platform services that integrate Generative AI technologies to impact business lines globally
Citi
$142,320.00 - $213,480.00 py
The role involves designing and architecting end-to-end platform services that integrate Generative AI technologies for global business impact
Citi
$142,320.00 - $213,480.00 py
The role involves architecting end-to-end platform services that integrate cutting-edge Generative AI and Large Language Models for global business impact
soundhire.me
~$140,900 – $261,050 py
Designing Spotify’s consumer experience across all platforms
Raozanprotidin
~$140,900 – $261,050 py
Designing Spotify's consumer experience across all platforms and touchpoints
Lifeatspotify
~$140,900 – $261,050 py
Lifeatspotify looks for a senior Senior Machine Learning Engineer - Content Intelligence
Findainaukri
~$140,900 – $261,050 py
Findainaukri looks for a senior Senior Machine Learning Engineer - Content Intelligence
Amoritan
~$140,900 – $261,050 py
Design Spotify’s consumer experience end to end across every screen, platform, and partner integration
WORKOPIA ESTIMATE is shown when an employer doesn't disclose pay. It's the typical range (25th–75th percentile) of disclosed salaries for the same role in the same city, adjusted for seniority and refreshed daily — an estimate, not the employer's figure.
