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Machine Learning Operations Engineer

Littleton, Colorado

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At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

Mission-Focused Innovation: From aerospace to outer space to cyber space, you can solve the world's most complex challenges for our customers.

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Diverse Career Opportunities with Meaningful Work: Grow your career and skills for life. Our technology-driven learning platforms and programs enable your development and agility.

Your Health, Your Wealth, Your Life: Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities and our planet.

Commitment to Sustainability: We foster innovation, integrity and security to preserve the environment, strengthen diverse communities and propel growth.

Here, the possibilities are endless because we offer:

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See what it takes to be a successful Lockheed Martin employee.

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“Before I came to Lockheed Martin, I never thought I’d get these opportunities. The benefits available and the company’s value culture make it an incredibly supportive place to work, and I’m grateful to work somewhere that wants me to succeed. I hope to have a long career here making an impact, and I know I’ll be supported in doing that every step of the way.”

Ryan J., Enterprise Operations


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Job Responsibilities

Machine Learning Operations Engineer

Littleton, Colorado

Job ID: 576167BR Date posted: Nov. 09, 2021 Locations: Littleton, ColoradoProgram: T-TAURI COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID variants pose in the workplace and ensuring we meet our commitments to national security.

To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees who are unvaccinated will be required to adhere to onsite safety protocols.
Description:The coolest jobs on this planet… or any other… are with Lockheed Martin Space.
At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing people are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and build solutions to some of the worlds’ hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you.
As a Machine Learning Operations Engineer on the T-TAURI Team at Lockheed Martin Space, you will help transform our artificial intelligence and machine learning (AI/ML) research and develop algorithms into scalable, operationalized tools that will streamline our program clients’ cost and schedule baselines, creating tangible business value by analyzing information, communicating outcomes, and collaborating on product development.
We are looking for a talented and passionate ML / MLOps Engineer to join our AI team. Our mission is to build predictive solutions that focus on the assembly and test operational data reviews for cutting edge spacecrafts and satellite programs. We need engineers that can bring together the disciplines of DevOps, Data Engineering, Machine Learning Engineering, and Data Science Research into a more efficient and automated process. You will be working closely with each team member to understand the team’s overall strategy and direction and provide your ML/MLOps Engineering expertise in collaborating to design, build, deploy, and operate production pipelines and systems. You will be essential for enabling the team to produce solutions more efficiently, with high scalability, and reliability of operation using MLOps best practices.
Basic Qualifications:
• Demonstrated self-motivation with a compelling desire to make a positive impact and the organizational skills and sense of urgency to make it happen.
• Broad understanding of data science and machine learning
• MLOps lifecycle management (build, deploy, and production support) and strong Python programming skills and experience with one or more deep learning frameworks such as Tensorflow, PyTorch or Keras.
• Containerization (e.g., Docker), CI/CD pipeline patterns and best practices, and experience collaborating with a team of data scientists, DevOps, Data engineers, and ML engineers
Desired Skills:
• An ideal candidate is comfortable in cluster environments and understands the related computer systems concepts (e.g., CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing).
• Work closely with Engagements and Capability Implementation (ECI) team, research scientist teams, and product engineering teams to drive model implementations and new algorithms
• Collaborate with our research scientists to create scalable ML solutions for business problems
• Deliver ML models and software components that solve challenging business problems in the Space industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
• Experience with any of the following will be a plus:
o Developing data pipelines and orchestrating the deployment of ML models for production ready systems
o MLOps tools such as KubeFlow, MLFlow, Metaflow, or Sagemaker
o Stream processing technologies such as Kafka, Spark, Samza, Flink, etc.
o PyTorch, TensorFlow, MXNet
o Cloud-based solutions with Amazon AWS, Google Cloud, or Microsoft Azure
o Building and delivering large-scale machine-learning infrastructure
o Containerization technologies (e.g., Kubernetes, ECS, Docker)
o Familiarity with data science tools, including Python scripting, Numpy, Scipy, Matplotlib, Scikit learn, and Jupyter notebooks Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

Pay Rate:
In compliance with Colorado’s Equal Pay for Equal Work Act, the annual base salary range for this position is $76,100 - $126,900 . Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

This position is incentive plan eligible
Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Schedule for this Position: 4x10 hour day, 3 days off per weekSecurity Clearance Statement: Ability to one-day obtain a security clearance is a plus.Clearance Level: None Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, Lockheed Martin’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Experience Level: Experienced ProfessionalBusiness Unit: SPACERelocation Available: PossibleCareer Area: Artificial Intelligence Type: Full-Time Shift: First
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