AI/ML developer

Key Skills

AI technology, Amazon RedShift, Azure, Big Data Technology, C Programming, C++, clickHouse, Computer Vision (CV), CUDA/GPU programming, Data Warehousing, Deep Learning, Google BigQuery, Image processing, Machine learning techniques, Netezza, Neural Networks, Object detection, Pose estimation, Python Programming, SPARK Programming, Speech recognition, SQL, Teradata, Text segmentation, Video processing/compression

Job Description

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.