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Software Engineer @ Sinergise Solutions d.o.o

Opis delovnega mesta

We are seeking a talented Software Engineer with expertise in developing and deploying machine learning solutions at scale to join our team. This role is at the intersection of machine learning (ML), software engineering, and remote sensing, focusing on building innovative systems that extract actionable insights from satellite imagery for applications in agriculture, forestry, climate, land management and more. Our projects include mapping crop activities, detecting land changes, measuring forest carbon stocks, roads, buildings and other topics at the intersection of machine learning, artificial intelligence, and Earth Observation. You'll join a passionate, innovative, and distributed team that values collaboration and fosters a culture of continuous learning and impact-driven engineering.

In this role, you will work with a team to develop and deploy robust, scalable machine learning workflows, including computer vision and time-series algorithms, and integrate them into distributed systems for real-world applications. You will analyze remote sensing data from diverse sources to extract actionable insights. Your work will involve designing and enhancing machine learning infrastructure for training, evaluation, and inference on global-scale datasets, ensuring performance and reliability. Additionally, you will contribute to end-to-end system development, including backend and API design, with occasional involvement in front-end and DevOps tasks to ensure seamless functionality of geospatial applications. Collaboration will be key as you work closely with a distributed team of scientists, engineers, and clients across Europe and North America, incorporating feedback to refine and enhance products. You will also establish and maintain machine learning operations workflows to monitor and optimize the performance of deployed models.

Impact You'll Own:
- Develop and deploy ML models: Build and integrate robust, scalable machine learning workflows, including computer vision and time-series algorithms, into distributed systems for real-world applications.
- Scalable infrastructure: Design and improve ML infrastructure for training, evaluation, and inference on global-scale datasets, ensuring high performance and reliability.
- End-to-end system development: Contribute to full-stack development, from backend and APIs to occasional front-end and DevOps tasks, enabling seamless integration and functionality of geospatial applications.
- Collaborative innovation: Work closely with a distributed team of scientists, engineers, and clients across Europe and North America, incorporating feedback to refine products and processes.
- ML Ops: Establish and maintain machine learning operations workflows to monitor and enhance deployed models' performance over time.

Od kandidatov zahtevamo

- 4+ years of relevant work experience
- 3+ years of experience engineering in Python/Java/Go and/or similar programming languages
- 2+ years of experience developing and designing Computer Vision and/or Machine Learning technologies and systems.
- Experience delivering production-grade machine learning systems at scale, with a focus on real-world applications.
- Experience with ML Ops workflows to monitor, maintain, and optimize deployed machine learning models.
- Problem-solving skills and ability to iterate based on feedback from clients or partners.
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch, and distributed computing for large-scale data processing.
- Experience with end-to-end system design, including backend development, database management, and occasional front-end contributions.
- Knowledge of computer vision and time-series modeling techniques, applied to real-world datasets.
- Ability to work effectively in a collaborative, cross-disciplinary, and distributed team environment.
- Ability to communicate in English, the working language of the company

Kandidatom ponujamo

- Paid time off including company-wide days off
- Remote-friendly work environment
- Employee Wellness Program
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity
- Volunteering Paid Time Off

Kontakt

Apply via https://job-boards.greenhouse.io/planetlabs/jobs/6471576

Klasifikacija delovnega mesta

Lokacija:
Slovenia / remote
Plačilo:
3500€- 4700€ bruto EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

Java/python/go (or similar)
napredno znanje

O podjetju

Sinergise is a Slovenian IT company with extensive expertise in developing advanced geospatial information systems based on cloud and web technology, focusing to fields where it is creating the highest impact:
- Earth Observation, making it easy for individuals, institutions and value-adders to get actionable insights in what is happening with our Planet;
- IT processes in Agriculture, ensuring more efficient use of the resources while ensuring sustainability of the ecosystem;
- Land Administration processes, which are essential for transparency of the government and economic growth.

Since our establishment in 2008, we have successfully completed several country-scale projects in Europe and Africa. Using these experiences, we developed and launched Sentinel Hub, an award-winning satellite imagery service, which powers Earth observation applications world-wide. We process hundreds of millions of requests every month, crunching close to 50 PB of data coming from Sentinel, Landsat, Planet, Pleiades, WorldView and other satellites.

In 2023 we joined forces with Planet Labs PBC with the common mission to enable easier access to geospatial data and make change visible, accessible and actionable.

Zakaj bi želel delati za vas

Our world is constantly changing and the effects of our fast paced life are ever more apparent. There is a large demand for the continuous monitoring of the ecosystem changes at a large scale.
Our mission is to innovate, to break the mold, to create something that is both an engineering feat, and has a positive impact on our society by communicating how the planet is changing due to climate change and the impact people have in this regard. We can accomplish this by bringing together great individuals who believe in what they do.

We believe that great teams are built on common goals, vision and shared values, and we believe we can only bring value to our clients, if we are also committed to creating a world-class work environment for our employees, that extends beyond competitive salaries, benefits and perks.

Programerski vprašalnik