At a Glance
- Tasks: Build innovative machine learning models for complex biological data and tackle real-world challenges.
- Company: Exciting SaaS company in Barcelona with a focus on collaboration and curiosity.
- Benefits: Competitive salary, equity, flexible work arrangements, and relocation support.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Join a pioneering team at the forefront of machine learning and biology.
- Qualifications: Experience in machine learning or related fields; PhD not required but valued.
The predicted salary is between 29000 - 69000 £ per year.
We are looking for an experienced, fluent English-speaking Machine Learner who is located in Barcelona or willing to relocate. We want strong machine learning judgment and experience building models for difficult real-world systems. We need someone who can reason from first principles about data, models, compute, uncertainty, validation, and product usefulness. We value depth, judgment, and evidence of exceptional work more than formal credentials. You may have PhD-level training in machine learning, physics, biology, chemistry, applied mathematics, computational biology, or another systems-oriented discipline. You should have strong foundations in one or more of: applied mathematics, statistics, optimisation, probabilistic modelling, causal inference, dynamical systems, scientific ML, or related areas. You may also be an exceptional applied ML engineer without a PhD, with a track record of building models for complex real-world systems. Experience with biological data is useful, but not required.
We are building an in‑person team in Barcelona that works together in English. We are tackling hard technical challenges at the edge of machine learning, biology, and experimental science. We are developing ways to learn useful representations of cellular state from sparse, noisy, high‑dimensional, and incomplete biological data. We are combining biological knowledge with machine learning to build models that are predictive and biologically meaningful. We are creating models that help scientists understand uncertainty, compare hypotheses, and decide what to test next. We are evaluating models in problem spaces where there is no clean benchmark for understanding a cell. We are building systems that help users make better decisions. We are supporting relocation and visa sponsorship where needed.
We are a rapidly expanding SaaS company building an in‑person team in Barcelona and working together in English. We value curiosity, kindness, and purposeful execution, and we care deeply about technical depth as well as how people collaborate, learn, communicate, and support one another. We offer competitive salary, meaningful early‑employee equity, flexible time off, flexible work‑from‑home arrangements, a learning and conference budget, high‑quality equipment, and practical relocation support to help make Barcelona home if needed. We are an equal opportunities employer.
Founding Machine Learning Engineer in Barcelona employer: Sivara GmbH
Join a rapidly expanding SaaS company in Barcelona, where we foster a culture of curiosity, kindness, and purposeful execution. As a Founding Machine Learning Engineer, you'll enjoy competitive salaries, meaningful equity, flexible work arrangements, and a strong emphasis on collaboration and personal growth, all while tackling challenging technical problems at the intersection of machine learning and biology.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Machine Learning Engineer in Barcelona
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sivara GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Founding Machine Learning Engineer at Sivara GmbH.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Founding Machine Learning Engineer at Sivara GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Founding Machine Learning Engineer in Barcelona
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sivara GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sivara GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
