Machine Learning Engineer

Machine Learning Engineer About this Role Due to the nature of our work, US Citizenship is required with an ability to obtain secret clearance. Are you passionate about machine learning and eager to work on cutting-edge aerospace projects? Skyward, Ltd., a pioneering aerospace company based in Dayton, is seeking a talented Machine Learning Engineer (not entry level) to join our Modeling & Simulation team. This is a growth-oriented opportunity, perfect for a self-driven individual who is looking to expand their skill set and work into a leadership role. Supervised, unsupervised and reinforcement learning and computer vision experience are all valuable areas of interest. In this role, you'll be exposed to the development and implementation of cutting-edge machine learning algorithms to tackle fascinating challenges like modeling temporal sensor data, analyzing video data from experiments or unmanned aerial system (UAS) data collection, and ensuring data integrity. You will assist Skyward in the development of potential products related to additive manufacturing, structural analysis, or flight navigation, for example. Not only will you get to work with state-of-the-art technology, including accelerated hardware and supercomputing resources, but you'll also be instrumental in crafting optimized machine learning solutions for data-intensive applications. Key Responsibilities: • Develop ML Software: Build end-to-end machine learning solutions from data pre-processing to inference. • Create Data Pipelines: Develop high-performance pipelines to clean, augment, and curate datasets for machine learning. • Customize Models: Modify popular pre-trained Machine Learning models to meet specific project needs. • Model Development: Design and implement machine learning models for a variety of data types including imagery, time-series, and numeric data. Identify appropriate machine learning and computer vision techniques to successfully model task objectives for a variety of data types. • Analyze and Evaluate: Assess the efficiency and effectiveness of machine learning solutions and integrate them with existing software.Organize and analyze data to derive conclusions, insights, and confidence level. • Collaborate: Work closely with the Skyward team and participate in a unique cross-domain opportunity to integrate machine learning with state-of-the-art dynamic simulations and testing. • Drive Solutions: Meet with customers and partners to better understand their challenges and work with subject matter experts to develop tailored solutions. Write reports, develop presentations, and take an active role in the development of new proposals. • Support Testing: Support ballistic test data collection and analysis and develop algorithms to improve processes. Skills and Proficiencies: · End-to-End ML Software: Proven experience in developing machine learning software. • Technical Expertise: Proficiency in common programming languages/packages related to machine earning such as Python, C++, TensorFlow/Pytorch, Numpy, Pandas, MatPlotLib, etc. • Data Processing: Strong skills in transforming and processing data, developing data pipelines, and understanding issues with data integrity. • Communication: Excellent communication skills to foster cooperative, working relationships. • Self-Starter: Motivated, proactive, and willing to learn. Minimum Qualifications: • Citizenship: US Citizenship Required with an Ability to Obtain Secret Clearance • Education: Degree in Computer Science, Software Engineering, or related field with equivalent work experience. Master’s Degree, or Bachelor’s degree with 3 years work experience, is desired. About Skyward, Ltd. Founded in 1997, Skyward, Ltd. began with a vision to provide customers with more personal and detail-oriented professional services. Today, Skyward has expanded its capabilities to provide custom product solutions to customer problems utilizing technology, research and development. Skyward’s expertise includes test & evaluation, modeling & simulation, and game-changing areas such as unmanned aerial systems (UAS), additive manufacturing, and machine learning. Skyward works on a diverse range of projects, from survivability assessments to fire protection technology development. With access to advanced tools and resources, including modeling and simulation techniques and machine learning, you'll play a crucial role in delivering high-quality solutions to our clients. At Skyward, we pride ourselves on our commitment to making innovative solutions for our customers. And with a focus on collaboration and continuous improvement, you'll have the opportunity to grow and develop your skills alongside experienced professionals in the field. If you're looking for a rewarding career in engineering, Skyward, Ltd. could be the perfect fit for you. Join us and be part of a team that values professionalism, integrity, and excellence. Benefits: Skyward offers competitive salaries and benefits, including: · 401K retirement plan with annual employer contributions · Comprehensive health insurance package, including dental and vision · Employer-provided Health Savings Account contributions · Life insurance · Paid Federal holidays · Remote working opportunities · A generous paid time off plan Skyward Ltd. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, veteran's status, disability, sexual orientation, gender identity, or any other protected class set forth by federal or state law. Skyward is a Drug-Free Workplace All benefits are subject to plan eligibility rules, and legal requirements; from time-to-time benefits may be updated or modified. This job description is designed to provide general guidance in job tasks and is not meant to be all-inclusive of the responsibilities, duties, and skills required of this position. As business demands and needs change, the essential functions of this position may be updated to reflect the needs of Skyward, Ltd. Pay: From $100,000.00 per year Benefits: • 401(k) • Dental insurance • Health insurance • Life insurance • Paid time off • Vision insurance Work Location: In person