About Fisker Inc.
California-based Fisker Inc. is revolutionizing the automotive industry by developing the most emotionally desirable and eco-friendly electric vehicles on Earth. Passionately driven by a vision of a clean future for all, the company is on a mission to become the No. 1 e-mobility service provider with the world’s most sustainable vehicles. To learn more, visit www.FiskerInc.com – and enjoy exclusive content across Fisker’s social media channels: Facebook, Instagram, Twitter, YouTube and LinkedIn. Download the revolutionary new Fisker mobile app from the App Store or Google Play store.
This role is based in Manhattan Beach, CA or San Francisco, CA
Hybrid Schedule
General Role Overview
Fisker Inc is looking for an experienced ML Engineer to join their data and analytics team. The individual will be responsible for delivering optimized Machine Learning model development and related product implementation supporting different lines of business.
Duties And Responsibilities
The candidate will expand the foundation of the ML architecture in big data environment with distributed computational architecture in the line of the following responsibilities.
Work with leaders, Data engineers, and data scientists to understand data needs.
Deploy well-trained ML algorithms onto the vehicle and cloud with excellent compromise between latency and accuracy.
Research and develop target agnostic ways for ML model compression and deployment, model testing and verification on the edge device.
Collaborate with ML Ops, system/software engineers, test engineers, and data scientists to commercialize the ideas with excellent user experience.
Passionately motivated to take ideas from development validation to a verified product
Minimum Qualifications
BS, MS or PhD in Computer Science, Software Engineering, Electrical Engineering, or a related field with solid foundation on mathematics.
3-4+ years of experience in C/C++ and Python
Good understanding of Linux systems
Some experience with modern embedded systems (e.g. Raspberry Pi)
Security awareness and network protocols
Knowledges, Skills, Abilities, Competencies
3+ years of Python development experience.
3+ years of SQL experience.
3+ years of experience in deep learning in one of the following: object detection, segmentation, tracking, pose estimation, face recognition, action recognition.
3+ years of experience in hardware acceleration of computer vision, image processing or video
Knowledge and experience in automotive software and protocols
Experience working with cloud or on-prem Big Data/MPP analytics platforms (i.e. Clickhouse, Spark, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
Solid understanding of machine learning, deep learning frameworks, neural network architectures, and the principle of neural network engines
Hands-on experience in model compression (quantization, pruning, etc.), model deployment on edge devices with GPU/NPU/TPU or other neural network engines
At least 2 years of experience in implementing Computer Vision, Image recognition and Deep learning models on Realtime projects.
Expected Salary Range: $75,000- $130,000 per year
Additional Compensation
Salary is one part of total compensation which includes bonuses, equity awards as applicable, and benefits. An employee is eligible to participate in Fisker’s equity program, subject to the rules governing such programs.
Benefits
Fisker provides comprehensive medical, prescription, dental, vision, and disability insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Fisker covers most of the premiums for employees.
The salary offered may vary depending on multiple individualized factors including market location, job-related knowledge, education/training, certifications, key skills, experience, internal peer equity as well as business considerations. Fisker reasonably and in good faith expects to pay for the position within the salary range listed, taking into account the wide variety of factors listed above.
Fisker Group Inc. (“Fisker”) is an Equal Opportunity Employer. Employment at Fisker is governed by merit, qualifications, and professional competence. Fisker does not discriminate against any employee or applicant because of race, creed, national origin / ethnicity, color, religion, gender identity / expression, sexual orientation, marital status, age, veteran status, disability status, genetic information, pregnancy or related conditions, or any other basis protected by law.
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