Position Title: Machine Learning Operations Engineer- Space Domain Awareness

Requisition ID: TA166

Location: Remote

Application Deadline: We are accepting applications on an ongoing basis

Who We Ar

eTrusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure

.

Our Cultu

reAs a customer-focused service provider, Trusted Space values it’s employees and clients. We live by our values; central to this principle is the concept to treat others as you would like other to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenge

s.

Job Descript

ionAbout the R

oleTrusted Space is seeking an experienced Machine Learning Engineer to rapidly improve and scale our prototype ML model training pipeline, including the addition of data labeling capabilities. The ideal candidate is comfortable working in fast-paced, small cross-disciplinary remote teams that rapidly matures tools for the US Warfighter. This position will be Remo

te.

What you'll

1. do:Build and maintain a robust computer vision model training pipel
2. inesBuild and automate data labeling pipel
3. inesDevelop and optimize computer vision models for space domain aware
4. nessStay abreast of the latest advancements in AI and ML and apply this knowledge to improve our models and methodolog

ies.

Qualifica

1. tionsThis position requires the candidate to be a United States Cit
2. izen.Bachelor’s or Master’s degree in computer science, machine learning, or a related
3. field3+ years’ experience in the machine learning ind
4. ustryStrong Experience in Python and ML Frameworks (PyTorch, Keras, Tensor
5. flow)Strong Experience with DevOps and MLOps prac
6. ticesExperience with machine learning platforms such as Azure Machine Learning Studio, AWS SageMaker, Google Vertex AI or
7. otherExperience in experiment tracking toolsets like MLflow, Kub
8. eflowPrevious experience with distributed model tra
9. iningSelf-motivated with a willingness to take ownership of
10. tasksExcellent problem-solving skills and a passion for innov

ation

Desired

SkillsExperience in the aerospace in

1. dustryExperience with space imagery datasets (EO/IR Imagery,
2. radar)Experience with hyperparameter tuning frameworks like Optuna or Ra
3. y TunePrevious experience in data labeling/auto labeling to
4. olsetsExperience with containerization tools like docker and orchestration frameworks like Kuber
5. netes.Bonus: Experience in Deep Reinforcement Learning and libraries like RLib and Stable Bas

elines

Salary Range: The salary range for this role is $125,000-$150,000. Please note that this range is a general guideline and can vary. Trusted Space, Inc. considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business consider

ations.

Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life

balance.

Trusted Space, Inc. is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and busin

ess need.

Trusted Space, Inc. participates in the E-Verif

y program.

DISCLAIMER: Trusted Space, Inc. only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal,

Venmo, etc.

Are you looking for remote jobs near your area? At Yulys, thousands of employers are looking for exceptional talent like yours. Find a perfect job now.