Senior Software Developer (AI/ML)
AL - Huntsville Engine Factory, United States
Full Time Senior-level / Expert USD 177K - 248K
Blue Origin
Blue Origin was founded by Jeff Bezos with the vision of enabling a future where millions of people are living and working in space for the benefit of Earth.Application close date:
Applications will be accepted on an ongoing basis until the requisition is closed.At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We’re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight!
We are a diverse team of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your dedication and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.
The Enterprise Data Management & Analytics team supervises the platform and data management capabilities that enable analytics, data engineering and data science across the company. We are constantly innovating in the ways we are automating and accelerating the creation of products using innovative software and hardware technologies. We use the latest AWS technologies, big data approaches, and ML to build distributed, highly available systems to achieve our goals.
We are seeking a highly skilled Senior Software Developer (AI/ML) to join our Machine Learning team. This role requires an individual with a deep understanding of software development, machine learning and a broad range of technical capabilities. The ideal candidate will be hands-on and ready to dive in.
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
What You Will Be Doing
Lead and manage the development of AI and machine learning projects, ensuring robust and scalable solutions and deployment.
Develop and implement strategies for seamless deployment of machine learning models into production environments.
Build and maintain the infrastructure required for efficient data processing, model training, and inference at scale.
Set up and manage monitoring systems to ensure the performance, reliability, and scalability of AI/ML models in production.
Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.
Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns.
Conduct performance tuning, troubleshooting, and optimization of AI and ML models to improve efficiency and reduce latency.
Evaluate, select, and integrate appropriate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, TensorFlow Extended).
Maintain comprehensive documentation of processes, configurations, and performance metrics of developed AI/ML models.
Foster a culture of continual improvement by staying updated with the latest advancements in AIML and implementing best practices.
Develop and implement incident response plans to address and mitigate issues with deployed models promptly.
Plan and implement strategies for scaling AI/ML models to handle increased demand and larger datasets.
Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve operational efficiency.
Work with cross-functional teams to incorporate AI/ML insights into broader business strategies and processes.
Provide production support for ML applications as needed
Qualifications:
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
5+ years of professional software development experience, with a significant focus on AI/ML development and CI/CD best practices
Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or similar.
Advanced understanding of microservices architecture and best practices.
Experience with serverless computing frameworks and technologies.
Strong knowledge of software architecture patterns and principles
Experience with large-scale data processing frameworks, Flink, Spark and Kafka
Familiarity with software development in agile and scrum environments.
Experience with database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB, Databricks).
Strong project management skills with the ability to manage multiple priorities.
Strong analytical and problem-solving skills with attention to detail.
Excellent written and verbal communication skills for clear documentation and cross-team collaboration.
Ability to innovate and adapt to rapidly changing technologies and environment
Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Desired:
Experience taking a leading role in building sophisticated machine learning systems
Knowledge of professional software development methodologies for the full software creation process, including coding standards, code reviews, source control management, build processes, testing, and operations.
Experience partnering with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.
Experience influencing machine learning standard methodologies within your team.
Full stack experience ranging from front-end user interfaces through to back-end systems and all points in between.
Compensation Range for:
WA applicants is $177,567.00-$248,593.80Other site ranges may differ
Inclusivity Statement
Don’t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Export Control Regulations
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Background Check
Required for all positions: Blue’s Standard Background Check
Required for Certain Job Profiles: Defense Biometric Identification System (DIBDS) background check if at any time the role requires one to be on a military installation
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification, Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.
Benefits
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.
Equal Employment Opportunity
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on “EEO Is the Law,” please see here.
Affirmative Action and Disability Accommodation
Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com.
California Applicant Privacy Notice
If you are a California resident, please reference the CA Applicant Privacy Notice here.
Tags: Agile Architecture AWS Big Data CI/CD Computer Science Databricks Data management Engineering Flink Kafka Kubeflow Machine Learning Microservices MLFlow ML models Model training MongoDB NoSQL PostgreSQL Privacy PyTorch Scrum Security Spark SQL TensorFlow Testing
Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Parental leave Salary bonus
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