1,738,341open jobs
102,785companies
261,006added this week
Browse all
Salary
≈ $228k – $500k per year (Estimated)
Location
In office (New York, Boston)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 2, 2025. Percepta scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Percepta is an artificial intelligence company that builds and deploys AI systems for large organisations and institutions. It hires AI infrastructure engineers, optimisation research scientists and operations staff, mainly in New York and Boston. The company is headquartered in New York, New York, United States.

Who We Are

Percepta’s mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.

To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:

  • Forward-deployed expertise in engineering, product, and research

  • Mosaic, our in-house toolkit for rapidly deploying agentic workflows

  • Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more

Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.

Percepta is a direct partnership with General Catalyst, a global transformation and investment company.

About the role

As a Research Scientist - Optimization at Percepta, you'll work at the intersection of AI research and real-world impact. Once a world model has compressed the operation and forecasters and user models have scored what happens next, someone has to actually choose the best action, under real constraints, at production scale. That's this role: combining modern machine learning with rigorous optimization research - test-time search, reinforcement learning, and classical OR - to close the loop from prediction to decision.

Our optimizers are already running in production, allocating scarce resources against real operational constraints and generating measurable multi-million dollar impact. We've also built internal benchmarks with real, undisputed ground truth - replayable operations where a decision system's performance can be scored - to rigorously validate new methods before they ever touch a live customer.

Responsibilities

  • Set and drive ambitious research programs that expand what's achievable in data-driven decision-making, building on the forecasts and user models produced by our research tracks.

  • Invent new optimization methods for high-impact problems such as planning, scheduling, routing, pricing, and inventory - combining test-time search and reinforcement learning with classical LP/MIP/CP formulations.

  • Build high-fidelity simulators and rigorous, replayable benchmarks (in the spirit of the subway challenge) that mirror real-world constraints, uncertainty, and multi-objective trade-offs, and that let us validate a decision before it touches a real patient, member, or asset.

  • Push optimizers from benchmark wins into production systems that hold up against real operational stakes - not just a demo, but something that runs fast in real-time and re-learns from outcomes every week.

  • Bridge research into practice by partnering with our engineers to rapidly prototype solutions and implement successful research ideas across live customer engagements.

You may be a good fit if you:

  • PhD in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics or have equivalent research/industry experience.

  • Have depth in operations or mathematical optimization (LP/MIP/MINLP, CP, stochastic/robust optimization).

  • Have experience in novel machine learning techniques for Operations Research, including test-time search and reinforcement learning for sequential decision-making.

  • Are comfortable implementing fast real-time optimization systems, debugging large-scale optimization systems, and/or designing benchmarks with real, defensible ground truth.

  • Are motivated by impact in critical industries including healthcare, supply chains, energy, and finance.

  • Have a proven track record of execution.

  • Are an excellent communicator with both technical and non-technical stakeholders.

  • Enjoy extreme ownership.

  • Are passionate about AI's transformative potential.

About Our Team

As an organization, Percepta is committed to inclusion and belonging, and our people are our greatest investment! We’re working against an incredibly ambitious mission. It won’t be easy, but it will likely be the most fulfilling work of your career.

In addition to competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day, we offer a culture built on autonomy and trust. We strongly believe that the boldest solutions come from teams who dream bigger together, and that means bringing in people from every kind of background, experience, and path. We are an office-first team that values the impact of in-person collaboration, but we focus on outcomes over outputs-believing that we are each responsible for solving the "whole problem" to make our customers win.

If you don't check every box on this description but you care deeply about the problems we're tackling, seeking the truth, and wanting to own outcomes alongside a team that has your back, then we want to hear from you! We know self-doubt keeps great people from applying, so please don't count yourself out before we've had the chance to meet you. Tackling the hardest problems takes a range of perspectives in the room, and we believe that's how we build something truly game-changing.

Our company values are more than just words on a page. They inform how our team shows up every day:

Our Values

Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will.

Heart in the game: What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn’t a 9-5, nor is it a job we’re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.

Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do-the products we build, the partnerships we launch, the strategy we set-exists to make our customers successful. Delivery is the strategy.

Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.

Intensity with kindness: We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.

Percepta is proud to be an equal opportunity employer and we evaluate every qualified applicant on their merits and give equal consideration for employment regardless of race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, veteran or uniformed service status, age, or any other characteristic protected under applicable law. Percepta provides reasonable accommodations to qualified applicants and employees in accordance with federal and applicable state law.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,738,341 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
New York
≈ $161k – $306k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • San Jose
Python
C++
AI/ML
Reinforcement Learning
Feature Store
Machine Learning
Apply
≈ $121k – $268k per year (Estimated) • In office • 2+ years exp • PhD • Mountain View
Python
Java
C++
AI/ML
Machine Learning
Apply
≈ $223k – $420k per year (Estimated) • In office • 4+ years exp • Bachelor's Degree • Seattle
Swift
Objective-C
AI/ML
AI Agents
Machine Learning
Apply
≈ $223k – $420k per year (Estimated) • In office • 4+ years exp • Bachelor's Degree • Cupertino
Swift
Objective-C
AI/ML
AI Agents
Machine Learning
Apply
$98k – $163k per year • Hybrid • Full-Time • 7+ years exp • Bachelor's Degree • Atlanta
Python
Go
JavaScript
TypeScript
Node JS
AI/ML
LangChain
LlamaIndex
Model Context Protocol
MLFlow
AI Agents
CrewAI
LLM
OpenAI
Anthropic
Amazon SageMaker
Human-in-the-Loop
LLM Guardrails
DevOps
Splunk
Terraform
GCP
GitHub Actions
OpenTofu
Terragrunt
CircleCI
CloudFormation
Crossplane
Datadog
Dynatrace
Prometheus
Pulumi
GitLab CI
Azure
CI/CD
GitOps
ArgoCD
Jenkins
AWS
Docker
Kubernetes
Grafana
Platform Engineering
Amazon EKS
Google GKE
Azure AKS
AIOps
Amazon CloudWatch
Cybersecurity
HashiCorp Vault
ISO 27001
Open Policy Agent
Checkov
SOC 2
Least Privilege
Cryptography
Vault
Apply
≈ $106k – $207k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Dexter
Python
C++
AI/ML
CUDA Toolkit
Fine-tuning
Multimodal AI
Computer Vision
OpenCL
Transformers
CUDA
Pre-training
Machine Learning
DevOps
CI/CD
Robotics
Localization
Apply
≈ $12k – $30k per year (Estimated) • In office • Full-Time • 5+ years exp • Taguig
Python
SQL
Databases
Databricks
Delta Lake
AI/ML
Machine Learning
DevOps
GCP
Azure
AWS
Analytics
Tableau
Power BI
ETL/ELT
Looker
SAP BusinessObjects
Management
Agile
Apply
$312k – $429k per year • In office • Full-Time • 15+ years exp • Bachelor's Degree • San Francisco
SQL
AI/ML
AI Agents
LLM Guardrails
Machine Learning
DevOps
gRPC
Splunk
GCP
New Relic
Datadog
Prometheus
CI/CD
AWS
Docker
Kubernetes
Grafana
Chaos Engineering
Incident Management
IAM
Cybersecurity
Okta
Auth0
QA
JMeter
Gatling
k6
Locust
Apply
≈ $85k – $213k per year (Estimated) • Remote (location not specified) • 5+ years exp • Master's Degree
C++
AI/ML
Computer Vision
Machine Learning
DevOps
Git
Bitbucket
Apply
In office • 1+ year exp • Master's Degree • Tainan
Python
SQL
AI/ML
Jupyter Notebook
XGBoost
Pandas
Machine Learning
Analytics
Power BI
Apply
$250k – $425k per year • In office • Full-Time • 7+ years exp • New York
Python
TypeScript
AI/ML
Anthropic
Agentic Workflows
DevOps
AWS
Apply
$150k – $400k per year • In office • Full-Time • New York
Databases
Databricks
Apache Kafka
AI/ML
Embeddings
AI Agents
LLM
Anthropic
Agentic Workflows
Machine Learning
DevOps
AWS
Apply
$180k – $400k per year • In office • Full-Time • Master's Degree • New York • Boston
AI/ML
Reinforcement Learning
AI Agents
LLM
Anthropic
Post-training
Agentic Workflows
DevOps
AWS
Apply
≈ $222k – $486k per year (Estimated) • In office • Full-Time • Master's Degree • New York • Boston
Python
AI/ML
vLLM
Reinforcement Learning
SGLang
LLM
Ray
Anthropic
Post-training
Agentic Workflows
DevOps
AWS
Kubernetes
Amazon EKS
Apply
≈ $228k – $500k per year (Estimated) • In office • Full-Time • PhD • New York • Boston
AI/ML
Reinforcement Learning
Multimodal AI
Anthropic
Agentic Workflows
World Models
Machine Learning
DevOps
AWS
Robotics
Digital Twin
Apply
≈ $120k – $265k per year (Estimated) • In office • 2+ years exp • PhD • New York
Python
AI/ML
Scikit-learn
Pandas
NumPy
Apply
$130k – $159k per year • Equity • Remote (United States) • Full-Time • 5+ years exp • Bachelor's Degree • New York
Python
JavaScript
TypeScript
C#
AI/ML
LangGraph
LangChain
Claude
AI Agents
Semantic Kernel
Gemini
LLM
RAG
OpenAI
Anthropic
Knowledge Graph
Machine Learning
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
QA
Rest-Assured
Apply
$277k – $364k per year • Equity • In office • Full-Time • 8+ years exp • New York
Python
AI/ML
Function Calling
AI Agents
LLM
LLM Guardrails
Tool Use
DevOps
Kubernetes
IAM
Cybersecurity
OWASP Top 10
Apply
Bartender 1 day ago
$48k per year • In office • Full-Time • High School Diploma • New York
Apply
≈ $101k – $190k per year (Estimated) • Remote (United States) • 5+ years exp • Chicago • New York
AI/ML
AI Agents
Marketing
HubSpot
Apply
See all jobs
This is one of many
1,738,341 more open roles from verified company boards, updated every day.