Machine Learning Operations (MLOps) Engineer

Smart Eye is expanding!

Smart Eye is leading the global market for Driver Monitoring Systems, which will soon be a standard component in every car. Monitoring the driver behavior is safety critical both for normal driving as well as for autonomous driving. We are constantly growing and are looking for a number of new Software Developers who want to join our team of highly skilled and passionate engineers.

COME JOIN US - We are looking for a number of curious people!

We provide a high tech working environment in an exciting and expanding business and depending on your skills and interest you can work within a wide range of fields.

You will have great opportunities to personal development, challenges and great fun. You will work with highly talented people and join our spirit of an open, inclusive and creative culture. We believe in true teamwork where everyone is important. You find us in modern premises close to Järntorget, in the city-centre of Gothenburg, with great access by bus, tram, boat, and car. And on top of that the most tasteful coffee machine in Gothenburg!

Work Description
Smart Eye is looking to expand our machine learning capabilities with the addition of a Machine Learning Operations (ML Ops) Engineer to improve and extend our hybrid-cloud machine learning model development tools and infrastructure. You will work alongside Smart Eye’s computer vision and machine learning scientists based out of our Boston (US), Cairo (Egypt) and Gothenburg (Sweden) offices, as well as collaborate with peers internationally in Egypt and the United States.

Building this technology requires not only a fast and flexible development cycle, but it also needs to be extended to adhere to well established automotive development processes to ensure reliability, reproducibility and ultimately safety. To do so will require the best ML infrastructure, which you will help build.

About You
We are looking for a motivated engineer who is excited to extend and augment Smart Eye’s hybrid machine learning infrastructure. The ideal candidate will have a background in DevOps with a passion for machine learning: staying on top of the latest technologies and best practices available to successful machine learning organizations.

You will implement solutions to be used by Machine Learning engineers and scientists; working closely with our Data Platform team, Continuous Integration team and Site Reliability Engineering to ensure easy to use workflows that are both scalable and cost-effective.

Reporting to: Automotive Solutions – Core Algorithms Group Manager
Location: Smart Eye AB, Headquarters (Gothenburg)

Responsibilities:

- Improve and extend Smart Eye’s machine learning (ML) automation pipeline for model training and validation.
- Evaluate and integrate 3rd party tools (both commercial and open source) for ML operations e.g., MLFlow, Kubeflow, Metaflow, Airflow, Argo, SageMaker etc.
- Extend internal machine learning tools to enable faster and more efficient training of models.
- Build tools to improve experiment scheduling and tracking using Kubernetes or similar frameworks.
- Work with Smart Eye’s Data Platform team to implement access to training and evaluation data in terms of scalability, reproducibility, and ease of use.
- Maintain a backlog of ML infrastructure bugs & improvements.

​ Must-have-skills:

- 3+ years of experience working in backend software development in a machine-learning / data driven organization.
- Experience with Kubernetes, Docker, and cloud-based infrastructure.
- Strong skills in Python 3, including concurrent programming.
- Familiarity with machine learning concepts: deep learning frameworks, model training, validation, data access patterns.
- 2 years of experience working with Amazon Web Services (AWS) Cloud compute and storage: EC2, Lamba, S3/EFS/EBS, Batch.

Good-to-have-skills:

- Experience with ML Ops tools: MLFlow, Kubeflow, Metaflow, Airflow, Argo, SageMaker, etc.
- Familiarity with Continuous Integration tools (e.g., Jenkins, Travis, GitLab CI).
- Experience with PyTorch and Tensorflow.

Who are you?

- You're able to work independently in a fast-paced environment that changes rapidly.
- Exhibit a positive, enthusiastic, open, entrepreneurial attitude and a willingness to work closely with other teams within Smart Eye.
- Possess strong analytical and creative skills with an interest in new technologies.
- Great communicator with fluency in both Swedish and English. Other languages are a merit.

Interviews are held on a continuous basis, so we highly recommend that you submit your application at your earliest convenience. Welcome with your application.

Smart Eye is the global leader in Human Insight AI, technology that understands, supports and predicts human behavior in complex environments. Together with our subsidiaries Affectiva and iMotions, we are bridging the gap between humans and machines for a safe and sustainable future.

Today, our technology is embedded in next-generation vehicles, leading the way towards human-centric mobility through Driver Monitoring Systems and Interior Sensing solutions. Our Research Instruments offer unparalleled insights into automotive, aviation, assistive technology, behavioral science and many more fields.

Our subsidiary Affectiva is humanizing technology by pioneering Emotion AI, helping companies gain a deeper understanding of how consumers engage with their content, products and services, in automotive, media & entertainment, market research and beyond.

Our subsidiary iMotions provides the world’s leading biosensor software platform, that synchronizes data streams in real time from multiple sensors.

Smart Eye was founded in 1999 and is headquartered in Sweden with offices in the US, UK, Germany, Denmark, Egypt, Japan, Singapore and China. A publicly traded company since 2016, our customers include NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Geely, Harvard University, over 1,300 research organizations around the world, 70% of the world’s largest advertisers and 28% of the Fortune Global 500 companies.

Visit www.smarteye.ai for more information.