Manager, Machine Learning

| Greater LA Area
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Company Overview:

Relativity is the first and only company to automate aerospace manufacturing by integrating intelligent robotics, software, and proprietary metal 3D printing technology. Disrupting 60 years of aerospace, Relativity offers a radically simplified supply chain, building a rocket with 100x fewer parts in less than 60 days. Our long-term goal is to upgrade humanity’s industrial base on Earth and on Mars.  

Team:

The Integrated Software organization builds SW systems that impact teams all across the company, from flight and launch systems, to our 3D printers. As the Manager of Machine Learning Platform, you’ll create a new pillar in our team by facilitating the workflow and collaboration between data scientists, software engineers and DevOps teams to advance our goals of making our additive manufacturing processes more intelligent.

What you’ll do:

  • Develop tools and the machine learning pipeline consisting of Data and Model Provenance/Versioning, Model Orchestration, Explainability, Data Assessment, Model Assessment, and Production Monitoring
  • Lead, manage, and grow a team of machine learning software engineers specializing in infrastructure, high-performance computing, big data technologies, and automating the training, retraining, and deployment of models to production.
  • Develop the tools and infrastructure that all us to quickly train and apply models that increase the efficiency of additive manufacturing.
  • Collaborate across teams and disciplines (mechanical engineering, additive manufacturing, propulsion) to build and ship reliable systems to production
  • Collaborate on the technology vision and roadmap for machine learning and how it influences our factory of the future.

What you need to know:

  • BS or MS in Computer Science or related technical field
  • 5+ years of experience as a software engineer
  • 3+ years of experience managing a team of software engineers focused on building infrastructure, distributed systems, high-performance computing, or Big Data systems
  • Experience managing the machine learning release cycle (MLOps) for automating the training and retraining of models and CICD pipeline for deploying and maintaining models in production.

Nice to haves but not required:

  • Experience working in multi-disciplinary environments
  • Experience delivering models that perform in real-time control systems
  • Experience working with vision or other sensor systems
  • Data Assessment: class imbalances, evaluate protected features, correlations, data representability
  • Model Assessment: feature importance, model specific methods, domain knowledge abstraction, model metrics analysis
  • Outstanding management and team development skills: mentorship, career growth planning, individual roadmaps, and delivering transparent feedback
  • Experience with the following products or libraries: DVC, ModelDB, Pachyderm, Algorithmia, Seldon, MLEAP, DEEPDETECT, ELI5, SHAP, XAI

Relativity Space offers competitive salary and equity, a generous vacation policy, an annual L&D stipend and more! 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Technology we use

  • Engineering
  • Product
    • C#Languages
    • C++Languages
    • PythonLanguages
    • SqlLanguages
    • CreoDesign
    • ANSYSDesign
    • JIRAManagement

Location

3500 East Burnett Street, Long Beach, CA 90815

An Insider's view of Relativity Space

What’s the vibe like in the office?

Our office is very interesting--from the large and colorful art pieces on the walls to the large (and small) rocket parts all over. We also have screens all over that are casting live streams of our testing and manufacturing floor. You just feel like you are seeing the future of manufacturing unfold right before your eyes.

Nat

Lead Recruiter

What is your vision for the company?

We are creating an entirely re-imagined process to iterate and scale rockets quickly, eventually helping to build the future of humanity in space.

Tim

CEO and Co-Founder

What are some things you learned at the company?

I've never been at a company before that has so valued recruiting and the candidate experience in all stages of the interview process, from initial contact to even past onboarding. Everyone here respects each others' time and takes hiring very seriously. We have a high bar, but that means we've also cultivated a very talented team!

Samantha

Talent Operations Coordinator

What are Relativity Space Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Open door policy
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
We provide 5 tiers of coverage through Anthem--2 of which are almost completely free for employees.
Life Insurance
Retirement & Stock Options Benefits
401(K)
Company Equity
Relativity Space provides equity to all full time employees, vesting over a 4 year period.
Child Care & Parental Leave Benefits
Flexible Work Schedule
Family Medical Leave
Vacation & Time Off Benefits
Generous PTO
Relativity Space offers 20 days of PTO
Paid Volunteer Time
Paid Holidays
11 holidays--federal, and company wide
Perks & Discounts
Casual Dress
Company Outings
Relativity Space has quarterly off sites reviews, monthly celebration dinners, and regular social events
Stocked Kitchen
A wide variety of snacks are provided
Some Meals Provided
Weekly lunches for lunch and learn, all hands, and new hire lunches are provided
Happy Hours
Bi-weekly happy hours/socials
Parking
Pet Friendly
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Annual learning and development stipend of up to $2,000.
Lunch and learns
Every other week, we host a lunch and learn to get learn about the exciting work other teams are doing!
Paid industry certifications
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