Cruise · 2 days ago
Senior Staff Machine Learning Engineer, AI Foundations
US Remote
Full-time
Remote
Senior Level
$175K/yr - $258K/yr
5+ years exp
Maximize your interview chancesMotor Vehicle Manufacturing
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Responsibilities
Be a strategic thought leader for AI Foundations as a whole
Lead strategic execution around ML systems and training infrastructure and deploying large models
Be as a technical leader across the broader Cruise AI and Engineering organizations to deliver production systems and mentor Engineers
Define execution processes that strive for streamlined engineering development with robust quality and excellence
Contribute broadly on the needs and strategy from data, to training, to deployment
Utilize your deep understanding of data characteristics, model architectures, optimization techniques, or other ML domain-specific challenges to perform critical analysis of modeling results
Propose ways to improve the quality of the data for the model training and evaluation, automate data collection for reproducibility.
Closely follow industry and academic developments in the SOTA for the AI life-cycle and ML Systems domain’s and adopt technology that is the best fit for Cruise’s needs.
Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs. Effectively participate in team’s planning, code reviews and design discussions
Consider the effects of projects across multiple teams and proactively manage risks/conflicts. Work together with partner teams and orgs to achieve cross-departmental goals and satisfy broad requirements
Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities. Effectively onboard and mentor junior engineers and/or interns
Qualification
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Required
5+ years working on ML systems for training and deploying complex ML models by employing SOTA techniques in the area of distributed training and deployment
Experience working on the scaling challenges associated with building LLMs and/or other large foundational models.
Passionate about self-driving technology and its potential impact on the world
Attention to detail and a passion for truth
A track record of efficiently solving complex problems collaboratively on larger teams
Startup mentality - openness to dealing with unknown unknowns and wearing many hats
Strong expertise in writing production quality code and setting standards for code quality across engineering teams
Experience in driving technical strategy and vision for engineering teams and organizations
Leadership experience for planning and execution of cross-functional initiatives and projects
In-depth understanding of software development lifecycle (SDLC) and best practices - CI/CD, coding, debugging, optimization, testing, integration and deployment
PhD in CS/CE/EE, or equivalent, in industry experience
Preferred
Worked on distilling large foundational models to production on edge devices
Strong experience in working with GPUs and GPU based datacenters
Relevant publications
Benefits
Medical / dental / vision, Life and AD&D
Subsidized mental health benefits
Paid time off and holidays
Paid parental, medical, family care, and military leave of absence
401(k) Cruise matching program
Fertility benefits
Dependent Care Flexible Spending Account
Flexible Spending Account & Health Saving Account
Perks Wallet program for benefits/perks
Pre-tax Commuter benefit plan for local employees
CruiseFlex, our location-flexible work policy.
Company
Cruise
Cruise is building the world’s most advanced self-driving vehicles.
1,001-5,000 employees
H1B Sponsorship
Cruise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (168)
2022 (244)
2021 (220)
2020 (114)
Funding
Current Stage
Late StageLeadership Team
Daniel Kan
Co-Founder & Chief Product Officer
Cynthia Baca
Executive Business Partner to The President and CTO
Recent News
2024-04-16
2024-04-12
Company data provided by crunchbase
