Full Stack Senior Software Engineer II| Machine Learning Foundations

💰 $8,960 - $14,336 (Est.) 📍 San Francisco 🕐 4 days ago

Job Description

Qualifications
Passion for self-driving technology and its impact
Experience and proficiency shipping products end-to-end
Technical communication/collaboration skills: delegation, technical writing, driving alignment
Demonstrated ability to empathize with customer problems and deliver creative product solutions
At least 5+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
Experience with REST APIs and websockets
Experience with scripting languages such as Python
Experience building, deploying, and operating high-availability services
Experience with Google Cloud, AWS, or Azure
BS, MS, or PhD in Computer Science, Math, Physics, or equivalent real-world experience
Experience evangelizing front-end web technologies
Experience working closely with designers, product managers, and user experience researchers
Experience with data science/visualization
Experience with autonomous vehicle technology
ML or experimental design knowledge
Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record
A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required
Benefits
Experience building interactive tools that are core to people's daily work
The salary range for this position is $152,000 - $223,500
Compensation will vary depending on location, job-related knowledge, skills, and experience
You may also be offered a bonus, long-term incentives, and benefits
Our Benefits Are Here To Support The Whole You
Competitive salary and 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
Responsibilities
The Machine Learning Platform team is looking for a Senior Full-Stack Engineer to design and implement ML infrastructure user interfaces and data visualization applications that accelerate the evaluation and improvement of machine learning models
Work with Product Managers and Product Designers to design and implement web-based tools for visualizing and evaluating machine learning models, experiments, and data
Build automation that surfaces insights on how machine learning engineers can improve model performance
Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems
Drive best practices in our team and code bases: testing, software design/architecture for component reuse, driving changes in the tech stack towards quality and productivity
Job description
We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work.

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.

About The Team

The Machine Learning Foundations team builds and supports the essential tools and frameworks for every machine learning engineer at Cruise. Our goal is to greatly accelerate the development cycle of machine learning models across the whole company, empowering machine learning engineers to focus on improving the car’s safety and performance, instead of worrying about their infrastructure. Our scope covers the whole lifecycle of machine learning at Cruise: feature processing, model training and deployment to vehicles. We care about performance, ease of use and reliability of our products. We are driven by the success of our partner teams who rely on our work to build the most advanced driverless cars in the world.

About The Role

The Machine Learning Platform team is looking for a Senior Full-Stack Engineer to design and implement ML infrastructure user interfaces and data visualization applications that accelerate the evaluation and improvement of machine learning models.

What You’ll Be Doing
• Work with Product Managers and Product Designers to design and implement web-based tools for visualizing and evaluating machine learning models, experiments, and data
• Build automation that surfaces insights on how machine learning engineers can improve model performance
• Work closely with machine learning engineers to enable cutting-edge R&D efforts and improve existing systems
• Drive best practices in our team and code bases: testing, software design/architecture for component reuse, driving changes in the tech stack towards quality and productivity

General

What we’re looking for:
• Passion for self-driving technology and its impact
• Experience and proficiency shipping products end-to-end
• Technical communication/collaboration skills: delegation, technical writing, driving alignment
• Demonstrated ability to empathize with customer problems and deliver creative product solutions

Technical
• At least 5+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
• Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
• Experience with REST APIs and websockets
• Experience with scripting languages such as Python
• Experience building, deploying, and operating high-availability services
• Experience with Google Cloud, AWS, or Azure
• BS, MS, or PhD in Computer Science, Math, Physics, or equivalent real-world experience

Bonus points!
• Experience building interactive tools that are core to people's daily work
• Experience evangelizing front-end web technologies
• Experience working closely with designers, product managers, and user experience researchers
• Experience with data science/visualization
• Experience with autonomous vehicle technology
• ML or experimental design knowledge

The salary range for this position is $152,000 - $223,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.

Why Cruise?

Our Benefits Are Here To Support The Whole You
• Competitive salary and 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. (Learn more about CruiseFlex).

We’re Integrated
• Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded
• GM, Honda, Microsoft, T. Rowe Price, and Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives. We seek applicants of all backgrounds and identities, across race, color, caste, ethnicity, national origin or ancestry, age, citizenship, religion, sex, ****** orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.

Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email [email protected].

We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives. Know Your Rights: Workplace Discrimination is Illegal

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Candidates applying for roles that operate and remotely operate the AV: Licensed to drive a motor vehicle in the U.S. for the three years immediately preceding your application, currently holding an active in-state regular driver’s license or equivalent, and no more than one point on driving record. A successful completion of a background check, drug screen and DMV Motor Vehicle Record check is also required.

Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.

No Application Deadline

💡 Quick Summary

Seeking a career-building opportunity? The Full Stack Senior Software Engineer II| Machine Learning Foundations position is now open for candidates interested in the Software Developer Jobs sector. This role in San Francisco offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.

Sponsored

Job Details

Company Name: Cruise

Frequently Asked Questions

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The expected salary for Full Stack Senior Software Engineer II| Machine Learning Foundations in San Francisco is $8,960 - $14,336 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Full Stack Senior Software Engineer II| Machine Learning Foundations is an on-site position based in San Francisco. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Full Stack Senior Software Engineer II| Machine Learning Foundations. Previous experience in Software Developer Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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