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Machine Learning Engineer
Blue Origin Seattle, WA
Apply
$115k-138k (estimate)
Full Time 1 Week Ago
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Blue Origin is Hiring a Machine Learning Engineer Near Seattle, WA

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 toward 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.

Our team is looking for outstanding ML Engineers who love listening to our customers, working as a team, and proactively taking the lead. This role will enable value capture from machine learning that will have a measurable impact on the delivery of Blue Origin rockets and systems! Influence the design, implementation, and deployment of successful, enterprise-scale systems and services.

What You Will Be Doing

  • Building and setting up new development tools and infrastructure to support ML
  • Designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools
  • Working on ways to automate and improve development and release processes
  • Deploying Machine Learning (ML) to large production environments
  • Working towards continuous learning in the AI and computer vision fields
  • Testing and examining code written by others and analyzing results
  • Identifying technical problems and developing software updates and 'fixes'
  • Working with data scientists and software engineers to ensure that development follows established processes and works as intended
  • Share knowledge in performance, scalability, enterprise system architecture, and engineering standard methodologies.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to impact safe human spaceflight positively. Passion for our mission and vision is required!

Qualifications:

  • 3 years of professional experience in data science and machine learning
  • Computer Science fundamentals in object-oriented design, algorithm design, problem-solving, and complexity analysis
  • Proven distributed processing systems experience such as Hadoop or spark
  • Obsession with quality and customer experience - attention to detail coupled with the ability to think abstractly
  • Strong theoretical and practical background in NLP including experience with innovative LLM architectures optimized for handling large contexts and low inference cost
  • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI.
  • Proven programming skills in Python and the ability to write clean, efficient, and well-documented code
  • Bachelor's, Master's Degree, or equivalent experience in Computer Science or related field, or experience commensurate with education requirements.
  • Ability to earn trust, maintain positive and professional relationships, and strengthen our culture of inclusion

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.

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 atEEOCompliance@blueorigin.com.

California Applicant Privacy Notice

If you are a California resident, please reference the CA Applicant Privacy Notice here.

Job Summary

JOB TYPE

Full Time

SALARY

$115k-138k (estimate)

POST DATE

05/04/2024

EXPIRATION DATE

05/17/2024

WEBSITE

blueorigin.com

HEADQUARTERS

KIRKLAND, WA

SIZE

100 - 200

FOUNDED

2000

CEO

ROBERT FRONENBROEK

REVENUE

$50M - $200M

INDUSTRY

Business Services

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About Blue Origin

Blue Origin was founded in 2000 by Jeff Bezos with the vision to enable a future where millions of people are living and working in space to benefit Earth. Blue believes we must protect Earth by moving heavy industries that stress our planet into space, and enable humanity to access space to expand, explore, and find new energy and material resources. Then we can see a dynamic and abundant future for our grandchildrens grandchildren. There is no plan B for Earth. To enable this future, we must build a road to space to lower the cost of getting there. Blue is working on this today by developing ... operationally reusable launch vehicles that are safe, reliable and highly available. Every launch vehicle is designed for human spaceflight from the beginning and able to ferry payloads to space. Join the mission to build a road to space - step by step ferociously. #GradatimFerociter More
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The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.

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