at Sierra Space
Full TimeWe honor those that are not afraid to dream big dreams, those that tenaciously chase their dreams even when others say it cannot be done, those that achieve big dreams and change everything. Those are Dreams Worth Chasing.
At Sierra Space we envision a future where humanity lives and works in space, on moons, and on distant planets. Our mission isn’t restricted to the few, instead we see a future where all people can choose to live, work, discover and explore beyond our planet. Our company is building a platform in space to benefit life on Earth and together we will alter the course of humanity.
We have a bold mission. We are a bold company. Together, we are an extraordinary team.
Responsibilities:
Develop and lead innovative ML strategies with a strong emphasis on the operational aspects of machine learning systems, ensuring robust deployment and lifecycle management aligned with MLOps best practices.
Oversee the construction and management of automated ML pipelines and lead the process of bringing complex models from development into production.
Act as a bridge between data science, engineering, and DevOps, fostering a culture of collaboration in the deployment and maintenance of ML systems.
Pioneer the automation of model training, evaluation, and deployment processes, establishing strong mechanisms for monitoring model performance in production.
Evaluate and incorporate new technologies and frameworks to enhance the operational efficiency of the ML development lifecycle.
About You
Our mission is driven by the unwavering passion to push the boundaries of what is possible. We seek those who Dare to Dream — to envision the extraordinary and pursue it relentlessly – to join us on this transformational journey.
We’re looking for dreamers who align with our values, vision, and audacious goals – while also meeting the minimum qualifications below. The preferred qualifications are a bonus, not a requirement.
Minimum Qualifications:
Bachelor of Science degree in Computer Science, Software Engineering, or other related discipline and typically 6 or more years of relevant experience
Related experience may be considered in lieu of required education
Understanding of Computer Aided Engineering tools
Practical knowledge of engineering principles and practices
Experience working in multi-disciplinary teams
The ability to obtain and maintain a Top-Secret U.S. Security Clearance is required
Preferred Qualifications:
5+ years of hands-on experience in machine learning model development and deployment in production settings.
Expertise in MLOps frameworks and practices, with in-depth knowledge of cloud services and orchestration tools.
Masterful in coding in the Python programming language.
Superior understanding of the challenges associated with deploying and managing ML systems in large-scale environments.
Strong leadership and communication skills, with a proven record of steering model deployment initiatives successfully.
Excellent communication skills (written and verbal)
Demonstrated experience briefing technical subjects to both technical and non-technical people and delivering key messages and insights from analysis products
Physical/Mental/Emotional Requirements:
Frequently walk, sit, stand, climb stairs and steps
Frequently repeat same hand, arm, and finger motion many times to include finger and hand dexterity
Rarely lifting or carrying up to 20 lbs.
Working Conditions:
Rarely exposed to outdoor elements (high/low temperatures, sun, rain/snow, etc.)
Rarely exposed to fumes or hazardous chemicals/materials
Rarely exposed to loud noises
IMPORTANT NOTICE:
This position requires the ability to obtain and maintain a Top-Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. Citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use.
At Sierra Space, we are committed to your personal and professional development. We empower you to make profound and meaningful contributions and foster a vibrant culture of collaboration, where teamwork ignites breakthrough innovations.
Sierra Space offers annual incentive pay based upon performance that is commensurate with the level of the position.
We also offer a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 8%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.
At Sierra Space we are at the very doorstep of unlocking the future and the work in front of us is hard, but it is truly important and meaningful. Achieving our mission requires dedication, relentless pursuit of a dream and an unwavering passion for pushing the boundaries to accomplish what others might believe to be impossible. We seek those who too, Dare to Dream and will join us in a pursuit to achieve the extraordinary.
Application Deadline: This role will remain posted until a qualified pool of candidates is identified.
Please note: Sierra Space does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to Sierra Space team members not through our approved vendor list or Talent Acquisition will be considered property of Sierra Space, and we will not be obligated to pay any referral fees.
Sierra Space Corporation is an equal opportunity employer and is committed to working with and providing reasonable accommodations to applicants with disabilities. If you need special assistance or a reasonable accommodation related to applying for employment with Sierra Space or at any stage of the recruitment process, please contact us.
Yearly based
Centennial, CO (Arapahoe 2) - CO ARA
