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ProSource

Access Control Field Technician

Tampa, FL · On-site

$25 - $40/hr

Turing Video Burglar Systems: * Honeywell * DSC Job Qualifications: * 5+ years of commercial access control installation and service experience * Experience with card readers, RFID systems, magnetic ...

Turing

Software Architect

New York, NY · On-site

$220K - $250K/yr

Position Overview We're looking for an Engineering Lead / Architect who can own the technical direction of a complex platform modernization while staying hands-on enough to validate that direction ...

Alex

Full-Stack Software Engineer

San Francisco, CA · On-site

$100K - $250K/yr

How can we fine-tune our models to decrease hallucination and help Alex pass the Turing test? * How will our system architecture change as we scale to thousands more users, concurrently? Problems ...

Turing

Lead Forward Deployed Fullstack Engineer

Dallas, TX · On-site

$220K - $250K/yr

We are seeking an experienced Full-Stack Engineer who brings deep Java and React expertise, a polyglot mindset, and the ability to extend existing systems with AI and agentic capabilities. The ideal ...

Logical Intelligence

AI Engineer in ML Data

San Francisco, CA · On-site

$134K - $162K/yr

Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct. About the role Join our team ...

Turing

Client Director, Frontier Data - US

Palo Alto, CA · On-site

$255K - $325K/yr

Overview We are seeking a seasoned techno-functional leader to drive the development and execution of large-scale LLM training programs. This leader would partner with our clients (leading LLM labs ...

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What type of projects and clients can Turing engineers expect to work with?

Turing engineers are connected with clients ranging from fast-growing startups to large enterprises across a wide variety of industries, such as fintech, e-commerce, health tech, and more. The nature of projects can vary—some may involve building new applications from scratch, while others might focus on optimizing or extending existing systems. Engineers typically collaborate with remote teams in agile environments, requiring adaptability and clear virtual communication. This diversity gives you a chance to build a broad portfolio, gain exposure to cutting-edge technologies, and enhance your skills through challenging assignments.

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A Turing job is a remote software engineering position offered through Turing.com, a platform that connects developers with top companies worldwide. Turing uses AI-driven matching to pair engineers with roles that fit their skills, experience, and preferences. These jobs are typically long-term, full-time positions with competitive salaries and opportunities to work with leading tech firms without needing to relocate.

What are the key skills and qualifications needed to thrive in the Turing position, and why are they important?

To succeed as a Turing engineer (a software engineer employed by Turing), you typically need a strong background in computer science, software development, and proficiency in relevant programming languages such as Python, JavaScript, or Java. Familiarity with version control systems like Git, cloud platforms, and experience with remote collaboration tools are common technical requirements; certifications in software development can be a plus. Excellent communication, self-motivation, and problem-solving skills are crucial for collaborating with distributed teams and adapting to diverse project needs. These abilities enable you to deliver high-quality code, collaborate effectively in a remote environment, and thrive in demanding, fast-paced tech projects.

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AI Researcher in EBM

Logical Intelligence

San Francisco, CA

Other

Re-posted 21 hours ago

Job description

Who we are

At Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team - including ICPC champions, a Fields Medalist and an ACM Turing Award winner - we're building the future where all code is provably correct.

About the role

Join our team as an AI Research Engineer and help us push the boundaries of what's possible in logical reasoning! We're looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.

What you'll do
  • Research new reasoning algorithms and models
  • Pre-train and fine-tune the State-of-the-Art LLMs
  • Combine Reasoning algorithm and LLMs
  • Build effective and efficient ML pipelines
  • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
  • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution
Qualifications
  • You have an M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
  • You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable)
  • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
  • Strong communication and teamwork skills
  • Experience with explicit and implicit reasoning
  • Provable record of Energy-based usage for different problems
  • Hands-on with algorithms used to train Energy-based models
  • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc.)

Bonus Points

  • Multi-node and multi-GPU training
  • Mathematical Reasoning - discrete math and logic
  • Formal Verification - lean

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