What you will do

The Engineering team is looking for an ML intern (3 months or more) to help fast-track some of our exciting R&D initiatives. During the internship, you will:

• Work on existing or new ML R&D initiatives with the guidance and support of our senior data scientists
• Help with the validation and productization of mature R&D projects
• Collaborate with the Ops Data Science team to discover and orient R&D initiatives
• Work closely with the engineering team and support our VP of Product & Engineering to ensure the seamless integration of machine learning applications to the Lynceus platform

What we are looking for

• Fluent in English, which will be our working language
• Currently pursuing an ML-relevant degree (Bachelor or above) such as statistics, mathematics, computer science or data science
• Solid command of Python
• Good communication skills, particularly in communicating complex scientific information
• Strong sense of curiosity coupled with technical excellence
• Team-work spirit and autonomy
• Git knowledge
• Past track record of delivering technical research is a big plus
• Past experience of ML production is a big plus

Why us?

Join us in ​our journey of growth and ​receive:

• Mentorship & Guidance from our Machine Learning team
• A laptop of your choice
• Opportunity to join a growing startup and be a key success factor
• Meals & transportation refund

Our Values

• We are owners: We get involved, understand the impacts we make and deliver what we commit to.
• We are bias for action: We take actions with a goal in mind and act fast
• We believe there’s always something to learn: We are not afraid of asking questions and learning from different people all the time
• We collaborate and communicate: We understand that team work is key and the team's success is also my success
• We support and respect each other: We support both external and internal stakeholders needs and respect differences we all have
• We stand by our values and walk the talk: We stand by our values to make sure that our culture is strong despite being remote-first

Interview Process

• Screening call with the People & Culture Team
• Technical take home assessment
• Technical Discussion with the Machine Learning Engineer
• Behavioural Interview with the Machine Learning Engineer

About us

At Lynceus, we are building the first predictive OS for high-value manufacturing.

We provide software with edge/cloud hybrid architecture, deployed within manufacturing process control tools. We are building a scalable generic product, supported by the most robust machine learning models. Today, our platform leverages manufacturing data and in-house process comprehension to predict the performance of manufactured goods and systems (in-line and end-of-line quality tests), with each manufacturing step modelled independently. We deliver gains for our customers both through yield improvement and added production capacity. Tomorrow, our software will provide quality predictions further in time (customer returns, product performance in time, longevity, etc), integrate within the process control tools, and allow for powerful simulations of new process steps.

Semiconductor manufacturing is our first market, and we are working today with major semiconductor firms, with deployments already completed in several factories. We are also relevant for most high added-value manufacturing, with use cases and interest proven in LED, battery, biopharma and chemical industries.

We are venture-backed and currently in the process of raising a Series A round to accelerate our growth. As we scale our team, we are actively looking for enthusiastic, ambitious and driven individuals to help us deliver the most scalable models on the market, all the while demonstrating acute process and customer understanding.

We are a remote-first company with a truly international working environment. Our team represents 11 nationalities and spans 12 vibrant cities across Europe & the Middle East, where diversity fuels our innovation in AI.