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Title: Flight Crew Captain
Location: Indianapolis, IN
Reports to: Chief Pilot Team
The Company:
At Jet Access: We elevate quality of life.
Expect it all at Jet Access and our family of companies that provide premier private air travel, charter, aircraft management, sales, maintenance, flight training, airport operation and management.
As a family-owned, professionally operated, and EOS-managed company, we are committed to growth and operational excellence. With private ownership and an employee-centric, values-driven approach, we move fast, care deeply, and act with purpose.
Our people are not just part of our culture—they help define it. Together, we're building something exceptional: a place where doing the right thing, taking care of each other, and delivering for our clients is more than a motto—it's how we work.
Our five core values aren't just words on a wall – they are lived principles that guide every decision we make: Safety First, Do the Right Thing for the Long Term, Take Care of Each Other, Relationships Matter, and Maintain Positivity.
Expect a safe, positive, fast paced, and growth-oriented environment.
- Expect a culture focused on the wellbeing and happiness of our Team Members and their families.
- Expect to work with a diverse and talented group of aviation professionals.
- Expect your voice to be heard.
- Expect to matter.
Your future success is our priority - *Expect it all*.
Perks and Benefits:
Our commitment to "Take Care of Each Other" shows up in everything we offer: generous benefits, competitive wages, paid vacation, excellent training programs, and discounted flight training for your dependents. You'll join a tight-knit family where leadership is compassionate, transparent, and empowers you to achieve success—both for the business and your personal growth.
Job Summary:
The Captain leads flight operations with unwavering commitment to safety while delivering exceptional client experiences that exceed aircraft owner expectations. This role combines technical expertise with client service excellence, ensuring all flights are conducted in accordance with company policies and Federal Aviation Regulations while maintaining the premium standards that define Jet Access's reputation in private aviation.
Core Schedule:
- Variable schedule per aircraft assignment
- Schedule flexibility required to meet client and aircraft owner travel demands
- International and domestic travel assigned
Compensation:
- Compensation per Jet Access Flight Crew Compensation Plan
- Variable based on aircraft assignment and experience
- Paid professional development opportunities and recurrent training
Day in the Life:
As a Captain at Jet Access, you'll lead flight operations while ensuring every client interaction reflects our commitment to excellence and safety. Here's what your role encompasses:
Flight Operations & Safety Leadership
- Conduct aircraft operations in accordance with Flight Operations Manual and company policies
- Lead assigned flight crew in all operational duties and provide mentorship to First Officers
- Maintain current proficiency and competence as required crewmember on assigned aircraft type
- Exercise operational control on behalf of the Director of Operations
- Ensure compliance with flight/duty time limitations and rest periods per established policies
Client Experience & Service Excellence
- Deliver premium service experiences that exceed aircraft owner and passenger expectations
- Foster outstanding client business relations through professional, friendly, and efficient response to travel needs
- Coordinate client requests for itinerary changes with Operations Control Center
- Ensure seamless preflight briefings and in-flight service that reflect Jet Access standards
- Maintain professional appearance and demeanor that represents our brand excellence
Aircraft Systems & Maintenance Coordination
- Review Flight/Maintenance logs to ensure aircraft airworthiness and coordinate with maintenance personnel
- Ensure preflight, post-flight, and routine servicing accomplished per established policies
- Document engine trend monitoring data as requested by Maintenance Department
- Verify current manuals, charts, and equipment are on board aircraft
- Coordinate with maintenance personnel for accomplishment of required maintenance
Regulatory Compliance & Documentation
- Ensure all flight, aircraft, and passenger records are completed accurately and timely
- Perform duties of Ground and In-flight Security Coordinators per 40 CFR 1544.215(b-c)
- Ensure crew and passengers have valid documentation for international travel
- Conduct international arrivals and departures in compliance with applicable regulations
- Ensure no unauthorized personnel manipulate aircraft controls
Strategic Growth & Special Projects
- Complete special projects and initiatives as needed, embracing opportunities to contribute to Jet Access's continued growth and success
- Participate in safety management system initiatives and continuous improvement programs
- Support fleet standardization efforts and best practice development
- Contribute to training programs and mentor development for junior crew members
- Represent Jet Access professionally at company events and client interactions
Every flight is an opportunity to demonstrate our core values of "Safety First" and "Relationships Matter," ensuring that each client experience reinforces why Jet Access is the premier choice in private aviation while maintaining our positive, growth-oriented culture.
What will make you successful:
Required Skills & Experience:
- ATP Certificate required
- Current First-Class Medical Certificate
- 3,000 hours total flying time
- 1,500 hours total Pilot-in-Command (PIC) time
- 500 hours Multi-Engine PIC time
- 250 hours PIC time in type
- 250 hours Turbine PIC time
- Completed initial or recurrent training in required type within preceding 12 months
- Working knowledge of Federal Aviation Regulations applicable to FAR Part 135 and Part 91
- Valid state driver's license and passport
- Ability to pass background check and drug screening
- Commitment to Jet Access's values
Additional Qualities That Will Make You Successful:
- Thorough knowledge of FAA, ICAO, and international flight operations regulations
- Exceptional client service mindset with experience serving high-net-worth individuals
- Strong organizational skills and advanced multitasking abilities
- Outstanding interpersonal, verbal, written, and presentation skills
- Computer proficiency with word processing, email, web-based, and mobile applications
- Passionate attention to detail with ability to work effectively in team environment
- Professional appearance and demeanor suitable for premium client interactions
- Ability to anticipate client needs and deliver service that exceeds expectations
- Experience with international flight operations and customs procedures
- Commitment to continuous learning and professional development
Jet Access Group and affiliated companies are an Equal Opportunity Employer committed to diversity and inclusion in our workplace. Employment decisions are based solely on the qualifications and merit of the individual candidate and needs of the business, without discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
- 3,000 Hours Total Flying Time
- 1,500 Hours Total Pilot-In-Command (PIC) Time
- 500 Hours Multi PIC Time
- 250 Hours PIC in Type Time
- 250 Turbine PIC Time
What will make you successful:
- ATP Qualified
- Working knowledge of all Federal Aviation Regulations applicable to FAR Part 135, and Part 91.
- Thorough knowledge of FAA, ICAO, & other international flight operations regulations.
- Strong organizational skills & advanced multi-tasking abilities.
- Strong interpersonal, verbal/written and presentation skills are necessary to perform job at the expected level.
- Computer skills necessary to operate word processing, email and web-based and/or mobile device applications.
- Must possess a passionate attention to detail and the ability to work in a team atmosphere.
- Present a well-groomed appearance at all times.
- Valid state driver’s license
- Must successfully pass background check and drug test.
- Ability to read and respond to E-Mail communications.
Expect it all at Jet Access and our family of companies that provide premier private air travel, charter, aircraft management, sales, maintenance, flight training, airport operation and management.
Our Jet Access family members are the heart of our core values, the center of everything we do and the foundation of our success. As a growing enterprise we are committed to providing you the tools and resources for a long and meaningful career with us.
Expect a safe, positive, fast paced, and growth-oriented environment.
- Expect a culture focused on the wellbeing and happiness of our Team Members and their families.
- Expect to work with a diverse and talented group of aviation professionals.
- Expect your voice to be heard.
- Expect to matter.
Your future success is our priority - *Expect it all.*
Perks and Benefits:
We offer a generous benefit package, competitive wages, paid vacation and holidays, excellent job training and continuing education programs, and discounted flight training. This is a tight-knit family with a collaborative and social environment. Leadership is compassionate, and transparent, and believes in empowering employees to achieve, not only for the business, but also their own personal success.
Salary Context
This $120K-$180K range is below the median for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 37,339 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Jet Access, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $147,000. Disclosed range: $120K to $180K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Jet Access AI Hiring
Jet Access has 3 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Greenfield, IN, US, Remote, US. Compensation range: $125K - $180K.
Location Context
Across all AI roles, 7% (2,732 positions) offer remote work, while 34,484 require on-site attendance. Top AI hiring metros: New York (1,633 roles, $204,100 median); Los Angeles (1,356 roles, $179,440 median); San Francisco (1,230 roles, $240,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 37,339 open positions tracked in our dataset. By seniority: 3,672 entry-level, 23,272 mid-level, 7,048 senior, and 3,347 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (2,732 positions). The remaining 34,484 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 37,339 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (33,926), AI Software Engineer (823), AI Product Manager (805). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (3,672) are outnumbered by mid-level (23,272) and senior (7,048) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 3,347 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (2,732 positions), with 34,484 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $145,600. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (23,721 postings), Aws (12,486 postings), Rust (10,785 postings), Python (5,564 postings), Azure (3,616 postings), Gcp (3,032 postings), Prompt Engineering (2,112 postings), Kubernetes (1,713 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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