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Remote Machine Learning Compiler Engineer Jobs in Pittsburgh, PA

Senior AI/ML Engineer

Pittsburgh, PA ยท Remote

$101K - $139K/yr

Remote (MUST BE LOCATED IN CT/ET) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs ... Planning rules compiler - Translate natural-language planning rules into structured parameters for ...

Senior AI/ML Engineer

Pittsburgh, PA ยท Remote

$101K - $139K/yr

Remote (EST/EDT) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs, agent orchestration ... Planning rules compiler - Translate natural-language planning rules into structured parameters for ...

Senior AI/ML Engineer

Pittsburgh, PA ยท Remote

$101K - $139K/yr

Remote (MUST BE LOCATED IN CT/ET) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs ... Planning rules compiler - Translate natural-language planning rules into structured parameters for ...

Senior AI/ML Engineer

Pittsburgh, PA ยท Remote

$101K - $139K/yr

Remote (EST/EDT) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs, agent orchestration ... Planning rules compiler - Translate natural-language planning rules into structured parameters for ...

Senior AI/ML Engineer

Pittsburgh, PA ยท Remote

$101K - $139K/yr

Remote (EST/EDT) Primary stack: Python, Kotlin, TypeScript, AWS AI focus: LLMs, agent orchestration ... Planning rules compiler - Translate natural-language planning rules into structured parameters for ...

Senior Distributed Systems Engineer

Pittsburgh, PA ยท Remote

$101K - $138K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... machine-learning driven risk analytics delivered in near real-time. Although we are a remote ...

Senior Distributed Systems Engineer

Pittsburgh, PA ยท On-site +1

$101K - $138K/yr

DomainTools is looking for a Senior Distributed Systems Engineer (Sr. DSE) to join our Real-Time ... machine-learning driven risk analytics delivered in near real-time. Although we are a remote ...

Working with simulation or machine learning models. * Demonstrate empathy for users and decision ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Research Scientist, Simulation Agents

Pittsburgh, PA ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Simulation Agents

Pittsburgh, PA ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Learnable Planner

Pittsburgh, PA ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Research Scientist, Learnable Planner

Pittsburgh, PA ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Perception Engineer

Pittsburgh, PA ยท Remote

$115K - $150K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... The role As a Perception Engineer you will help develop and deploy next-generation sensing ...

Staff Technical Program Manager

Pittsburgh, PA ยท On-site +1

$125K - $162K/yr

This role will operate across our core machine learning capabilities-specifically partnering with ... Partner deeply with engineering and product leadership to ensure the ML and behaviors roadmap is ...

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Remote Machine Learning Compiler Engineer information

See Pittsburgh, PA salary details

$72.8K

$162.6K

$199K

How much do remote machine learning compiler engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning compiler engineer in Pittsburgh, PA is $162,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,800.00 and $199,000.00 per year, depending on experience, location, and employer.

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Compiler Engineer, and why are they important?

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA? For Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near Pittsburgh, PA with the most Remote Machine Learning Compiler Engineer job openings:
Senior AI/ML Engineer

Senior AI/ML Engineer

Cybercoders

Pittsburgh, PA โ€ข Remote

$101K - $139K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago


Job description

Senior AI/ML Engineer

Title: Senior AI/ML Engineer
Reports to: VP of Engineering, Operations
Location: Remote (MUST BE LOCATED IN CT/ET)
Primary stack: Python, Kotlin, TypeScript, AWS
AI focus: LLMs, agent orchestration, RAG architectures, evaluation pipelines (Claude/Bedrock integration)
Founded in 2006, we're one of the largest app vendors (300+ employees) supporting 30,000+ customers worldwide - including Amazon, Disney, Dell, PayPal, and Hulu. In fact, one in three Fortune 500 companies relies on our products!!ย 
We are building the intelligence layer that helps product and engineering teams plan, allocate, and act with confidence - turning noisy signals into clear, actionable decisions. You'll join a product team (not an isolated research silo) and ship production AI systems used by real customers.
We're currently growing at a 40% YoY pace and we need your help to keep up with the momentum! We're looking for a Senior AI/ML Engineer who will be working at the intersection of LLMs, real-time signal processing, and enterprise decision-making. If you treat AI as a production engineering discipline - not a notebook experiment - this is the role for you.
What you'll be doing

You will design, build, and operate the AI components that make our platform intelligent and trustworthy:

  • Signal & anomaly detection - Build statistical and ML detectors that separate noise from real problems in CDC event streams and external integrations.
  • Insight synthesis engine - Ship an LLM-powered correlation engine that returns root causes, confidence scores, and evidence chains, not just alerts.
  • Planning rules compiler - Translate natural-language planning rules into structured parameters for a deterministic Monte Carlo scheduling engine.
  • Evaluation & testing frameworks - Create regression suites, A/B testing, and confidence-calibration pipelines so model changes are safe and measurable.
  • MCP tool definitions - Define LLM-ready tool specs (Item Store queries, capacity lookups, scenario simulations) for runtime tool use in a hub-and-spoke agent architecture.


What I need from you

  • Proven track record shipping LLM-powered features or products (not prototypes) that real users rely on.
  • Hands-on experience orchestrating agents (multi-step reasoning, tool use, autonomous action with guardrails) - LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent.
  • Deep LLM engineering fundamentals: prompt design, RAG architectures, function-calling/tool use, context management, and evaluation-driven development.
  • Production engineering discipline: tests, CI/CD, observability, and reliability for production AI systems.
  • Experience with event-driven or streaming systems (CDC, real-time pipelines).
  • 5+ years software engineering, with 3+ years focused on AI/ML in production.
  • Comfortable working embedded in a product team - collaborating daily with domain engineers, product managers, and designers.


Preferred experience

  • Experience with AWS Bedrock, Azure OpenAI, or GCP Vertex AI (we run on Bedrock with Claude today).
  • Familiarity with MCP (Model Context Protocol) or similar agentic frameworks.
  • Background in anomaly detection, time-series analysis, or statistical signal processing.
  • Experience building confidence scoring / calibration systems for AI outputs.
  • Proficiency in Kotlin or TypeScript in addition to Python (our product platform is Kotlin/TypeScript; AI platform is Python).
  • History of absorbing work from external partners and improving inherited architectures.


Nice to have

  • Monte Carlo simulation, optimization, or scheduling systems.
  • Domain experience in portfolio, project, or resource planning.
  • Enterprise SaaS experience (multi-tenancy, compliance, audit trails).
  • Open-source contributions to AI/ML tooling or frameworks.


What we offer

  • Remote work - work where you do your best thinking.
  • Unlimited vacation.
  • Comprehensive benefits (health, dental, vision).
  • Great office spaces in Canada and Iceland if you prefer.
  • A collaborative, diverse team and high-impact work - you'll be building the intelligence layer for enterprise portfolio management, not adding AI to a CRUD app.
  • Regular social activities, breakfast/snacks, and more.
- For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 07/15/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .ย  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team atย Benefits@CyberCoders.comย to make arrangements.

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About CyberCoders

Sourced by ZipRecruiter

CyberCoders is a cutting-edge recruiting firm headquartered in Irvine, CA, US. The company operates within the technology industry, specializing in connecting talented professionals with suitable positions across a variety of sectors. Offering a broad spectrum of services, CyberCoders uses innovative, data-driven strategies and a proprietary matching technology to pair candidates with suitable job openings. Since its inception in 1999, CyberCoders has distinguished itself as an industry trailblazer. The company's mission is to deliver effective talent solutions, thus enabling both businesses and workers to achieve their goals.

Industry

Technology, communication and media

Company size

51 - 200 Employees

Headquarters location

Irvine, CA, US

Year founded

1999

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