Jobs in the United States

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Added 9 mins ago
Staff Software Engineer, DeepMind
DeepMind
Mountain View, CA · New York, NY
At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As…
Added 10 mins ago
NS
DISTINGUISHED SCIENTIST/ENGINEER FOR ELECTRO-OPTIC/INFRARED SENSOR TECHNOLOGIES
Naval Sea Systems Command
Crane, IN
- $170,138 to $209,600 USD / year
You will guide research, development, and technology transition for advanced sensors, imaging modalities, laser protection, optical signatures, communications, SWAP reduction, and advanced…
Added 1 hour ago
I
Software Solution Engineer
InterImage
Remote, United States
- $105,000 to $162,000 USD / year
2+ years developing Generative AI or Machine Learning applications.
Added 1 hour ago
ASIC Design Verification Engineer, Machine Learning
Google
Sunnyvale, CA
As an ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in…
Added 1 hour ago
Senior Staff Software Engineer, Technical Lead Manager, Vertical Ads on Maps
Google
Mountain View, CA
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 1 hour ago
Senior Data Engineer
Keebo
Remote, United States
…have to. We're venture-backed, built on years of database and machine learning research, and fully…
Added 2 hours ago
Senior Software Engineer (Quantum Computing)
Infleqtion
Remote, United States
Familiarity with statistics, machine learning, or AMO physics is a genuine differentiator; experience with realtime image analysis and object detection moves you to the top of the list.
Added 2 hours ago
Senior Software Engineer (Quantum Computing)
Infleqtion
Remote, United States
Familiarity with statistics, machine learning, or AMO physics is a genuine differentiator; experience with realtime image analysis and object detection moves you to the top of the list.
Added 2 hours ago
Senior Software Engineer (Quantum Computing)
Infleqtion
Remote, United States
Familiarity with statistics, machine learning, or AMO physics is a genuine differentiator; experience with realtime image analysis and object detection moves you to the top of the list.
Added 2 hours ago
I
Quantum Software Engineer - Nuclear
Infleqtion
Remote, United States
- $110,000 to $182,000 USD / year
Familiarity with AI: machine learning, LLMs, agentic AI, etc.
Added 2 hours ago
Senior Software Engineer, AI/ML Infrastructure, Ads Safety
Google
Pittsburgh, PA
Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.
Added 2 hours ago
Software Engineering Manager, High Performance Networking
Google
Sunnyvale, CA
…mentoring engineering talent to optimize the world's most demanding machine learning and HPC workloads, we want you to lead our…
Added 2 hours ago
Sr. Model Engineer
SpaceXAI
Palo Alto, CA
- Strong background in RL and machine learning fundamentals
Added 2 hours ago
Sr. Software Engineer, ML Platform
SpaceXAI
Palo Alto, CA
As a Software Engineer on ML Platform at SpaceXSI, you'll build the infrastructure that turns real product usage into better models, and keeps research moving fast on large GPU fleets. ML…
Added 3 hours ago
Model Engineer
SpaceXAI
Palo Alto, CA
- Strong background in RL and machine learning fundamentals
Added 3 hours ago
ASIC Design Engineer, Cloud TPU
Google
Sunnyvale, CA
…Units (TPUs), the custom-built accelerators powering our AI and machine learning workloads in datacenters. You will be responsible for the microarchitecture, design, implementation, and…
Added 3 hours ago
Senior Software Development Engineer , Stores Foundational AI - Rufus
Amazon.com Services LLC
Seattle, WA · Palo Alto, CA
…impact. You will work at the intersection of distributed systems, machine learning infrastructure, and science to bring frontier research - especially in post-training and reinforcement…
Added 3 hours ago
Software Engineer
Capstone Research Corporation
Huntsville, AL
Software Engineer Capstone Research Corporation is seeking to expand our team. Capstone Research Corporation is headquartered in Huntsville Alabama. We are a customer-oriented engineering…
Added 4 hours ago
AI Engineer I
Midwest Physicians Administrative Services, LLC dba Duly Health and Care
Downers Grove, IL
0-2 years of experience in software development, data engineering, DevOps, or machine learning (internships, co-ops, research, and academic projects count)
Added 4 hours ago
Senior Software Engineer, AI/ML NLP, Deep Learning, Search Infrastructure
Google
Mountain View, CA
3 years of experience with deep learning, machine learning, and large-scale data processing.
Added 4 hours ago
J
Staff Data Scientist
Jobgether
Remote, United States
- $123,804 to $185,700 USD / year
…team of data scientists while remaining hands-on in developing machine learning models, analytical solutions, and data pipelines. Working with large-scale operational and environmental…
Added 4 hours ago
Capital One Shopping Tech, Data Engineer 5 (Remote- Eligible)
Capital One
Boston, MA
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Added 4 hours ago
Senior Electrical Engineer
QinetiQ
Devens, MA
…locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning…
Added 4 hours ago
Senior Electrical Engineer
QinetiQ
Devens, MA
…locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning…
Added 5 hours ago
Data Engineer 4
Capital One
McLean, VA · Richmond, VA · Chicago, IL · Plano, TX
Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems

DataVisor

Senior Data Scientist - LLMs for Fraud Detection

Mountain View, CA, United States

Base salary range: $140,000–$170,000, commensurate with experience.

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Job details

Pay: Base salary range: $140,000–$170,000, commensurate with experience.
Experience: 3+ years of hands-on experience in at least one of:
Posting language: English
Posted: Sep 24, 2026

Original job description

About DataVisor

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Why this role

Fraudsters now use generative AI, and we’re using it back. At DataVisor you’ll build and fine-tune large models that run on billions of real-world events and catch attacks traditional rules miss. You’ll take models from idea to production and see the results in live fraud stopped for some of the world’s largest banks, fintechs and platforms. If you want to apply cutting-edge LLM work to a hard adversarial problem with real stakes, this is that job.

What you’ll do

Build and fine-tune large models

Fine-tune and adapt LLMs and other foundation models for fraud tasks such as behavior understanding, entity and identity reasoning, and case summarization.
Design and train large models on sequences, graphs and other multi-modal event data covering users, devices, networks and transactions.
Build evaluation frameworks for model quality, robustness and adversarial drift, and own model serving at production latency and cost.

Build agentic AI for fraud

Build AI agents and reusable tools that automate investigation, feature generation and reporting on our proprietary AI platform.
Turn expert investigator workflows into AI systems that scale across hundreds of customers.

Run ML end to end at scale

Own the full lifecycle of detection models: exploring data, prototyping, shipping to production and monitoring.
Engineer features from huge, noisy, imbalanced data (billions of events) using Spark and SQL.
Combine classic ML (gradient boosting, graph methods) with deep learning and LLMs, and know when each works best.

Investigate real attacks

Dig into complex fraud cases, reconstruct how attackers operated, and feed the findings back into models and products.
Write clear technical reports and trend analyses for customers, executives and engineering teams.

Requirements

Master’s or PhD in Computer Science, Statistics, Mathematics or a related quantitative field.
3+ years of hands-on experience in at least one of:
LLMs and large models: fine-tuning, post-training, or building and training large models in production or serious research, or
Fraud and adversarial risk: fraud detection, cybersecurity, trust & safety, payments or marketplace risk.
Strong computer science fundamentals: data structures, algorithms and system design, plus software engineering habits like clean, tested, maintainable production code in Python. You’re as comfortable writing efficient code as training models.
Strong deep learning skills (PyTorch preferred) and a solid grounding in classic ML.
Production ML experience: you’ve shipped models that real users depend on.
Strong Python and SQL; experience with Spark or PySpark and with cloud platforms (AWS, GCP or Azure).
An investigator’s mindset: forming hypotheses, separating signal from noise, and reasoning about adversaries.
Clear communication with technical and non-technical audiences, including customers and executives.

Nice to have

Publications at ML, NLP or security venues (NeurIPS, ICML, ICLR, ACL, KDD, USENIX Security and similar).
Experience with distributed training, inference optimization or retrieval-augmented systems.
Graph ML or sequence modeling on behavioral data.

Benefits

Base salary range: $140,000–$170,000, commensurate with experience.
PTO, Stock Options, Health Benefits

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