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Added 6 mins ago
O
NA Sales Representative, Data Platform Healthcare
Oracle
Boise, ID
- $126,600 to $217,700 USD / year
…signing, and post-sales support. Leverages the Oracle sales model to maximize revenue growth and increase local market share. Builds and expands business partner revenue and self…
Added 6 mins ago
Lead Product Manager - Ethernet Network
Lumen
Boise, ID
…Product Manager accountability within Lumen’s SAFe operating…
Added 6 mins ago
Site Reliability Engineer (5757)
SMX
Boise, ID
…expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and…
Added 6 mins ago
C
Senior Java Full Stack Engineer – Spring Boot & AWS
Cognizant
Boise, ID
- $86,000 to $99,000 USD / year
Added 8 mins ago
Sr. Prospect Research and Intelligence Analyst, Principal Gifts
Johns Hopkins University
Baltimore
The Sr. Prospect Research and Intelligence Analyst will apply, and model for others, excellent research, writing, presentation and organizational skills and implements new ways to secure…
Added 12 mins ago
Executive Director Global Supplier Management
Estée Lauder Companies
United States
…management platforms, standardized value creation operating model, and advanced analytics and management reporting. The role is especially critical during times of difficult global…
Added 13 mins ago
Financial Analyst III
FM
Johnston, RI
This position is based in Johnston, RI and follows an office-based work model. Flexibility for remote work one day per week, either Tuesdays or Fridays, based on business needs.
Added 15 mins ago
Senior Director, AI Platform Engineering Management
ServiceNow
Santa Clara, CA
The AI Control Tower is ServiceNow’s central hub for governing every AI model, agent, and dataset across the enterprise. We’re building the infrastructure enterprises will depend on as…
Added 16 mins ago
Cleared Experienced RD Systems Engineer - ISA Data Management Lead, Onsite
Sandia National Laboratories
Albuquerque, NM
The role will also lead the integration of mission data with model-based systems engineering and digital-engineering approaches, including system architecture, state models, and analytical…
Added 16 mins ago
Offensive Security Analyst
The Vanguard Group, Inc.
Malvern, PA · Charlotte, NC · Dallas/Ft. Worth, TX
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning,…
Added 16 mins ago
O
NA Sales Representative, Data Platform Healthcare
Oracle
Santa Fe, NM
- $126,600 to $217,700 USD / year
…signing, and post-sales support. Leverages the Oracle sales model to maximize revenue growth and increase local market share. Builds and expands business partner revenue and self…
Added 16 mins ago
Site Reliability Engineer (5757)
SMX
Santa Fe, NM
…expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and…
Added 19 mins ago
Principal Strategic Sourcing Lead - Technology
GitLab
Remote, United States
…Cloud, cloud marketplaces, and AI suppliers such as foundation model providers, inference platforms, and AI-powered developer…
Added 19 mins ago
NC
Working Partnerships USA - Organizing Director
NRG Consulting Group
San Jose, CA
- $120,000 to $150,000 USD / year
Development and Implementation of Organizing Model
Added 20 mins ago
P
Product Design Intern (USA)
Pinterest
Remote, United States
- $7,500 to $9,000 USD / month
For this role, some interns will work in a hybrid model (commutable distance to one of our offices, with in-person collaboration approximately 1–2 times per week), and some will work fully…
Added 21 mins ago
Research Engineering Manager, STEM
Turing
San Francisco, CA
…environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering,…
Added 22 mins ago
E
EverHealth - Software Engineer
Evercommerce
Remote, United States
- $130,000 to $160,000 USD / year
· Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Added 24 mins ago
AP
Senior Manager, Division Controller
American Precision Industries Inc
Downers Grove, IL
- $155,000 to $175,000 USD / year
Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location at least 3 days per week (Monday–Thursday), with flexibility to work remotely up to 2 days,…
Added 25 mins ago
Head of Product, Innovation and AI – Citi Travel, Senior Vice President
Citibank, N.A.
United States
Product Organization Leadership & Operating Model
Added 29 mins ago
Executive Recruiter
Everpure
Santa Clara, CA
Contribute to the standards, tools and operating model of the Executive Search function, and mentor colleagues across Talent Acquisition
Added 30 mins ago
Senior Vice President, Digital Products and Innovation
Farmington, CT
Added 30 mins ago
Senior Hardware Engineering & AI Systems Specialist (MSc/PhD)
Gramian Consulting Group
Remote, United States
Previous experience in AI model training is not required.
Added 31 mins ago
H&
Principal Machine Learning Engineer
Hims & Hers
Remote, United States
- $180,000 to $200,000 USD / year
- Work hands-on with Python and ML frameworks like PyTorch to prototype, optimize, and guide implementation of complex model pipelines and platform components
Added 32 mins ago
Senior Manager, Games Content Acquisition & Licensing
Netflix
Remote, United States
Added 33 mins ago
Platform Manager, Design Engineering
Power Partners
Athens, GA
The Platform Engineering Manager defines and governs the architecture, roadmap, delivery standards and operating model for engineering software platforms, automation tools, integrations,…

Turing

Research Engineering Manager, STEM

San Francisco, CA, United States

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Job details

Posting language: English
Posted: Nov 9, 2026

Original job description

About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:

Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications

We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.

You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.

This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.

What You’ll Do

Conduct Research on Frontier AI Systems

Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.

Build and Evaluate Research Systems

Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.

Translate Research into Practical Impact

Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.

Contribute to the Research Community

Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.

What We’re Looking For

Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.

A note from our CTO, Ece Kamar

Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.

Why Turing

Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.

Compensation: $250,000 to $400,000 OTE + Equity Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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