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Manager Spacex Machine Learning Jobs in Oregon (NOW HIRING)

Senior Manager, Privacy Engineering

OR · On-site +1

$100K - $128K/yr

The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning ... As the Senior Manager, Privacy Engineering at Upstart, you will lead the team responsible for ...

OR · On-site

$400K - $640K/yr

We are seeking a Product Manager with strong understanding of machine learning and expertise in AI innovation and technology to lead strategic initiatives that will transform our internal tools and ...

OR · On-site

$466K - $750K/yr

... Managers, Engineers, and Sales stakeholders to identify where AI can drive the most impact - and ... machine learning to help sellers work smarter, close more deals, and scale Ads revenue without ...

... and machine learning techniques to enhance data analysis capabilities - Facilitating the ... Managing projects with strategic planning and execution - Embracing technology and innovation to ...

Support deployment and lifecycle management of models within Azure Machine Learning, AWS, or similar platforms * Perform model validation, testing, and documentation to ensure quality and ...

OR · On-site

$466K - $750K/yr

You will work closely with our machine learning researchers, product managers, and other engineers to come up with new systems, improve existing ones, and enable offline experiments and A/B tests.

The ML Ops Engineer will work at the intersection of advanced AI/ML development, machine learning system deployment, and mission-critical applications, ensuring end-to-end lifecycle management of AI ...

Work with product managers and business partners to gather requirements for machine learning models * Build model deployment platform that can simplify implementing new models * Build end-to-end ...

Client/prospect guidance in machine learning model and analytic fine-tuning/development processes * Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

... Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

OR · On-site

Collaborate with cross-functional teams, including researchers, engineers, data scientists, and product managers, to develop and implement machine learning algorithms that improve personalization ...

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

... management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies ...

... management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies ...

... management models to drive higher approval rates and lower losses. You will leverage the latest machine learning techniques, and technology to optimize underwriting, marketing, and fraud strategies ...

You will manage, build and lead a high-performing team responsible for designing resilient data ... Collaborate closely with Data Science and Machine Learning teams to ensure the platform scales ...

OR · On-site

$466K - $750K/yr

Machine Learning drives innovation across all product functions and decision support needs ... AI Platform and Model Development and Management team are working with various teams at Netflix.

The team serves as a trusted advisor and managed service provider, bringing capability and capacity across security data modernization, DataOps, AI, and machine learning to address cyber-specific ...

Showing results 41-60

Manager Spacex Machine Learning information

What is the difference between Manager Spacex Machine Learning vs Data Scientist Spacex?

AspectManager Spacex Machine LearningData Scientist Spacex
CredentialsAdvanced degrees in CS, ML, or related fields; leadership experienceDegree in CS, Data Science, or related fields; strong analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, model development, experimentation
Industry UsageOversees ML teams, manages projects, aligns with business goalsBuilds models, analyzes data, provides insights

The main difference is that the Manager Spacex Machine Learning focuses on leading teams and managing ML projects, while the Data Scientist Spacex primarily develops models and analyzes data to support engineering and business decisions.

What are the most commonly searched types of Spacex Machine Learning jobs in Oregon? The most popular types of Spacex Machine Learning jobs in Oregon are:

Senior Manager, Privacy Engineering

Upstart

OR • On-site, Remote

$100K - $128K/yr

Full-time

Re-posted 7 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team

Upstart's Privacy Engineering team builds the systems, controls, and practices that help protect borrower, applicant, partner, and Upstarter data across our products and platforms. The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning to embed privacy-by-design into how Upstart builds, uses, retains, and governs data.
As the Senior Manager, Privacy Engineering at Upstart, you will lead the team responsible for building scalable privacy infrastructure and technical privacy controls across Upstart's AI lending marketplace. You will set the team's roadmap, grow and support privacy engineers, and help translate privacy and regulatory requirements into durable engineering systems.


How you'll make an impact

  • Lead the Privacy Engineering team's strategy, roadmap, and execution across privacy infrastructure, data governance, and privacy-by-design initiatives
  • Hire, coach, and develop a team of privacy engineers while establishing clear operating rhythms, priorities, and technical standards
  • Guide the design and delivery of scalable privacy controls, including data discovery, classification, access controls, audit logging, retention, deletion, lineage, encryption, and key management
  • Partner with Legal, Compliance, Security, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into practical technical solutions
  • Oversee privacy reviews, technical risk assessments, and threat modeling for new products, data flows, models, and platform capabilities
  • Define metrics and communicate progress, tradeoffs, dependencies, and risks to technical and cross-functional stakeholder

Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, and 8+ years of experience in engineering, including at least 3 years of direct people management experience
  • Experience leading engineering teams responsible for production software, platform, privacy, security, or data systems
  • Experience designing, building, or operating privacy, security, data governance, or data platform capabilities in production environments
  • Experience translating privacy, security, compliance, or regulatory requirements into technical controls
  • Experience working with cross-functional partners such as Legal, Compliance, Security, Product, Data, or Machine Learning teams

Preferred Qualifications

  • Knowledge of privacy-by-design principles, data minimization, purpose limitation, consent, retention, deletion, and data subject rights
  • Knowledge of privacy and data protection regulations or frameworks such as GDPR, CCPA/CPRA, GLBA, FCRA, or similar requirements
  • Experience with privacy reviews, threat modeling, risk assessments, data inventories, lineage systems, or automated policy enforcement
  • Experience building privacy or governance controls for machine learning, AI, financial services, lending, or other regulated data environments
  • Ability to communicate technical privacy tradeoffs clearly across engineering, legal, product, security, and business audiences

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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What Upstart employees say

Pay

Hours and flexibility

Workplace

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