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Remote Machine Learning Compiler Engineer Jobs in Kansas

Epiq

Senior Director of Product Development

Overland Park, KS · On-site +1

$230K - $241K/yr

Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows ... Stronger engineering accountability and ownership. * Better partnership between Engineering ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

micro1 AI

AI Trainer - Microbiology Expert

Topeka, KS · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

micro1 AI

AI Trainer - Microbiology Expert

Olathe, KS · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Wichita, KS · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Varsity Tutors

Python Tutor

Overland Park, KS · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Varsity Tutors

Python Tutor

Wichita, KS · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Remote Machine Learning Compiler Engineer information

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 the most commonly searched types of Machine Learning Compiler Engineer jobs in Kansas? The most popular types of Machine Learning Compiler Engineer jobs in Kansas are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Kansas? For Remote Machine Learning Compiler Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Kansas look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Kansas are:
What cities in Kansas are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Kansas with the most Remote Machine Learning Compiler Engineer job openings:
Remote Machine Learning Compiler Engineer jobs near you
Infographic showing various Remote Machine Learning Compiler Engineer job openings in Kansas as of August 2026, with employment types broken down into 16% Internship, 32% Full Time, 19% Part Time, and 33% Contract. Highlights an 100% Remote job distribution.

Senior Director of Product Development

Epiq

Overland Park, KS • On-site, Remote

$230K - $241K/yr

Full-time

Re-posted 15 days ago

Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

136th of 223 rated it services

Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a values-driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise-wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.
Job Description:
The Senior Director of Engineering will lead a large global engineering organization responsible for core eDiscovery platform capabilities, including data ingestion, processing, search, analytics, review workflows, productions, reporting, integrations, and AI-enabled features.
The position will be expected to improve platform reliability, delivery predictability, engineering quality, and technical scalability while continuing to support active client needs. This is not a purely strategic role; it requires strong execution, sound judgment, and the ability to drive change in a complex environment.
Key Responsibilities
  • Lead and develop distributed engineering teams across application development, data engineering, QE, DevOps, architecture, and platform services.
  • Own engineering execution for core eDiscovery workflows, including processing, indexing, search, review, production, analytics, and reporting.
  • Drive platform modernization, including APIs, data models, cloud infrastructure, automation, CI/CD, observability, and performance engineering.
  • Partner with Product to translate roadmap priorities into realistic delivery plans.
  • Work closely with Operations and Client Success to reduce client-impacting issues and improve platform usability.
  • Establish clear engineering metrics around delivery, quality, uptime, performance, incidents, and defect trends.
  • Manage technical debt with discipline, balancing client commitments with long-term platform health.
  • Support the introduction of AI and advanced analytics into legal workflows with appropriate controls around auditability, security, and human oversight.
  • Build an engineering culture focused on ownership, accountability, technical excellence, and practical problem solving.

What We're Looking For
  • 12+ years of software engineering experience, including senior leadership responsibility for enterprise or SaaS platforms.
  • Proven experience leading distributed engineering teams.
  • Strong background in data-intensive platforms, workflow systems, search, document management, or enterprise software.
  • Experience modernizing complex platforms without disrupting existing clients.
  • Strong understanding of cloud architecture, APIs, data pipelines, DevOps, automated testing, and production operations.
  • Ability to work across Product, Operations, Security, Finance, Sales, and Client Success.
  • Comfortable making tradeoffs and communicating clearly with executive stakeholders.

Experience That Would Stand Out
  • Experience in eDiscovery, legal technology, litigation support, investigations, compliance, or document review.
  • Familiarity with Relativity, Reveal, Nuix, Everlaw, DISCO, Exterro, OpenText, or similar platforms.
  • Experience with large-scale document processing, OCR, email threading, deduplication, metadata extraction, productions, or review workflows.
  • Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.
  • Experience operating in regulated environments with SOC 2, ISO, HIPAA, GDPR, or similar controls.

Leadership Profile
We need a leader who is technically credible, commercially aware, and operationally disciplined. The ideal candidate can go deep with architects and engineers, but also communicate clearly with clients and executives. They should bring structure without bureaucracy, urgency without chaos, and innovation without losing sight of reliability and defensibility.
Success in This Role Looks Like
  • More predictable roadmap delivery.
  • Measurable improved platform stability and performance.
  • Fewer client-impacting defects and escalations.
  • Stronger engineering accountability and ownership.
  • Better partnership between Engineering, Product, Operations, and Client Success.
  • Clear progress on modernization and technical debt.
  • Practical AI capabilities delivered into real legal workflows.

Why This Role Matters
eDiscovery is changing quickly. Clients expect faster answers, lower cost, better transparency, and responsible use of AI. This role will help shape the engineering foundation needed to compete in that environment - combining scalable data platforms, modern software practices, and defensible legal workflows into products clients can trust.
#LI-KS1 #LI-Remote
The Compensation range for this role is 230,000 to 270,000 USD annually and may be eligible for an annual bonus.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Must be authorized to work in the United States for any employer.
Your specific salary will be determined based on several factors:
  • Location-based market rate for the role
  • Your abilities in relation to the job specification
  • Performance during screening and interview
  • Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.
Click here to learn about Epiq's Benefits.
Epiq Leadership Compass
Enterprise Decision Making
Applies deep business and financial insight to guide strategic decisions, resource allocation, and thought leadership.
  • Use financial and market expertise for long-term direction
  • Build strategic partnerships
  • Promote a customer-first mindset
  • Allocate global resources for innovation and growth

Cultivates a Growth Mindset
Fosters innovation through curiosity, smart risk-taking, and adaptability-aligning change with strategy for lasting impact.
  • Promote curiosity and forward-thinking
  • Build a culture of innovation through partnerships
  • Drive innovation to meet client needs
  • Lead innovation with a clear vision
  • Align innovation with market trends

Builds Talented Teams
Builds and develops inclusive, high-performing teams aligned to strategic goals for exceptional talent and business results.
  • Focus on employee engagement
  • Build a strong talent pipeline

Fosters Relationships & Collaboration
Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.
  • Build trust-based partnerships
  • Nurture long-term relationships
  • Remove collaboration barriers
  • Celebrate cross-team success

Engages & Influences
Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.
  • Use storytelling to build buy-in
  • Align communication with organizational goals
  • Guild alignment through strong engagement

Maximizes Performance
Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.
  • Use data to identify improvement opportunities
  • Make informed decisions
  • Align team goals with boarder strategy
  • Empower teams to manage their own goals
  • Translate vision into clear priorities
  • Prepare for disruptions with strong change management

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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