POSITION SUMMARY
Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build, deploy, and maintain machine learning models. This is an excellent opportunity for someone early in their career who is eager to develop hands-on experience with real-world ML systems.
DUTIES & RESPONSIBILITIES
- Assist in developing and training machine learning models
- Support the creation and maintenance of data pipelines
- Help deploy ML models into production under guidance
- Clean, preprocess, and analyze datasets for model training
- Collaborate with team members to solve business problems using data
- Monitor model performance and help troubleshoot issues
- Document code, processes, and model behavior
REQUIRED SKILLS & QUALIFICATIONS
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
- Basic proficiency in Python
- Familiarity with machine learning concepts (regression, classification, clustering)
- Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
- Understanding of data structures and algorithms fundamentals
- Basic knowledge of SQL and data handling
PREFERRED QUALIFICATIONS
- Internship, academic project, or personal project experience in machine learning
- Familiarity with Git and version control
- Exposure to cloud platforms (AWS, Azure, or Google Cloud)
- Basic understanding of APIs or web services
- Experience with data visualization tools (e.g., Matplotlib, Seaborn)
- Strong willingness to learn and grow
- Problem-solving mindset
- Good communication and teamwork skills
- Attention to detail
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
- Basic proficiency in Python
- Familiarity with machine learning concepts (regression, classification, clustering)
- Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)
- Understanding of data structures and algorithms fundamentals
- Basic knowledge of SQL and data handling
- Internship, academic project, or personal project experience in machine learning
- Familiarity with Git and version control
- Exposure to cloud platforms (AWS, Azure, or Google Cloud)
- Basic understanding of APIs or web services
- Experience with data visualization tools (e.g., Matplotlib, Seaborn)
- Strong willingness to learn, problem-solving mindset, communication and teamwork skills, attention to detail
Flexjet Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flexjet and has not been reviewed or approved by Flexjet.
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Retirement Support — Retirement benefits include a dollar-for-dollar 401(k) match up to 6%, with pilots eligible for added company retirement contributions and a deferred compensation program that begins after year three. Feedback suggests these features lift total retirement value beyond base pay for pilots and certified technicians.
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Wellbeing & Lifestyle Benefits — Pilot work rules emphasize home basing across 115+ domiciles, company-paid positioning on scheduled days, no reserve or calls on days off, and the ability to keep hotel and airline points. A high per diem and company-paid training further support day-to-day quality of life.
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Pay Growth & Progression — Pay is considered to have improved for pilots in 2024+, with first-year totals rising and base pay viewed as good relative to some Part 135 operators. Feedback suggests several non-flying roles track at industry standard or slightly above, aligning with local market medians.
Flexjet Insights
What We Do
Flexjet first entered the fractional jet ownership market in 1995. Flexjet offers fractional jet ownership and leasing. Flexjet’s fractional aircraft program is the first in the world to be recognized as achieving the Air Charter Safety Foundation’s Industry Audit Standard, is the first and only company to be honored with 21 FAA Diamond Awards for Excellence, upholds an ARG/US Platinum Safety Rating and is IS-BAO compliant at Level 2. Flexjet’s fractional program fields an exclusive array of business aircraft—some of the youngest in the fractional jet industry, with an average age of approximately six years. In 2015, Flexjet introduced Red Label by Flexjet, which features the youngest fleet in the industry, flight crews dedicated to a single aircraft and the LXi Cabin Collection of interiors. To date there are more than 40 different interior designs across its fleet, which includes the Embraer Phenom 300, Challenger 350, the Embraer Legacy 450 and Praetor 500, Global Express, the Gulfstream G450, G500, G650 and G700, and the Aerion AS2 supersonic business jets. Flexjet is a member of the Directional Aviation family of companies. For more details on innovative programs and flexible offerings, visit www.flexjet.com or follow us on Twitter @Flexjet and on Instagram @FlexjetLLC.
