20 beste Stellen als engineering internship in berlin – aktuell auf Personalsuche

Foundation and generative models for biomolecules
Inceptive —Berlin
- 200.000 € – 275.000 € pro Jahr
- Doktorat
- Informatik
- Forschungserfahrung
Product Engineer - Enpal Heat (f/m/x)
Enpal —Berlin
- Vollzeit
- Hybrides Arbeiten
- CRM-Software
- Bachelor
- APIs
Direkt bewerben
11 Tage
Product Owner
Deltia —Berlin
- 68.000 € – 85.000 € pro Jahr
- Vollzeit
- ERP-Systeme
- SQL
- APIs
- Flexible Arbeitszeiten
Manufacturing Solution Engineer (AI Startup)
Deltia —Berlin
- Vollzeit
- Produktion
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Full-Stack Software Developer
Fairmas GmbH —Berlin-Schöneberg
- 4.000 € – 5.000 € pro Monat
- Wochenendarbeit möglich
- Informatik
- Datenbanken
- Softwareentwicklung
10 Tage
Founders Associate Intern (m/w/d) - Startup
Taxforce —Berlin
- Künstliche Intelligenz
Direkt bewerben
Staff Design Engineer, EU
Ashby —Berlin
- 141.000 € – 226.000 € pro Jahr
- Vollzeit
- Homeoffice
(Senior) Strategist (all genders) - Corporate Development & Innovation
MOIA GmbH —Berlin
- Microsoft Powerpoint
- Homeoffice-Möglichkeit
11 Tage
Senior Compliance Tooling Expert (all genders) Autonomous Vehicles
MOIA GmbH —Berlin
- Homeoffice-Möglichkeit
(Senior) Battery Test Engineer, Powertrain Engineering Europe (m/w/d)
Tesla —Berlin
- Vollzeit
- CAD
- Datenanalyse
- Python
5 Tage
Field Installation Engineer (AI Startup)
Deltia —Berlin
- 45.000 € – 58.000 € pro Jahr
- Vollzeit
- Erfahrung mit Netzwerken
- Linux
- Produktion
- Flexible Arbeitszeiten
Founders Associate (Strategy & Retail Expansion) (m/f/d)
New Soul GmbH —Berlin
- Vollzeit
- Microsoft Powerpoint
- Künstliche Intelligenz
- Wirtschaft
Direkt bewerben
(Senior) International Standards Manager (all genders) (Product Compliance)
MOIA GmbH —Berlin
- Homeoffice-Möglichkeit
5 Tage
VLM Research Engineer (m/f/d)
Deltia —Berlin
- Vollzeit
- Doktorat
- Machine Learning
- Produktion
- Flexible Arbeitszeiten
Senior Customer Vehicle Deployment Planner (all genders) – Vehicle Lifecycle Projects
MOIA GmbH —Berlin
- Homeoffice-Möglichkeit
Consultant - Automotive & Digitalization (f/m/x)
accilium Group GmbH —Berlin
- 4.650 € pro Monat
- Vollzeit
- Microsoft Powerpoint
- Microsoft Excel
- Projektmanagement
- Homeoffice-Möglichkeit
Direkt bewerben
Consultant - Automotive Architecture (f/m/x)
accilium Group GmbH —Berlin
- Ab 4.650 € pro Monat
- Vollzeit
- Microsoft Powerpoint
- Microsoft Excel
- Projektmanagement
- Homeoffice-Möglichkeit
Direkt bewerben
(Power) Electronic/Electrical Design Engineer, Drive/Traction Inverter (Powertrain) (m/f/d)
Tesla —Berlin
- Vollzeit
- Doktorat
- Schemata
- Master
Senior Vehicle Transition & Readiness Manager (all genders) – Vehicle Lifecycle Projects
MOIA GmbH —Berlin
- Homeoffice-Möglichkeit
Product Owner (all genders) - SIM/MNO Management
MOIA GmbH —Berlin
- Verhandlungsgeschick
- Homeoffice-Möglichkeit

Ich möchte aktuelle Job-E-Mails für Stellen als engineering internship in berlin erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

engineering internship jobs near berlin

Foundation and generative models for biomolecules

Inceptive -
Berlin

Jetzt bewerben

Details zur Stelle

200.000 € – 275.000 € pro Jahr

Qualifikationen

Node.js
Doktorat
Informatik
Forschungserfahrung
Machine Learning
PC-Kenntnisse
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

The design space of biomolecules is unimaginably vast — far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Your Mission, should you choose to accept it

Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design
Analyze, visualize, and communicate results to support team efforts in improving models and data
Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production
Work with biologists to collect data for the training and evaluation of generative models of biomolecules
Provide mentorship and technical direction to team members as appropriate

Qualifications

3+ years of hands-on experience developing ML models
Demonstrated track record of implementing, training, improving advanced machine learning models
Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework
Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
Readiness to travel several times a year for company retreats and business events
We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills

PhD in AI/ML, computer science, computational biology, physics, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)
Strong skills in designing, executing, and documenting machine learning experiments
Practical experience with modern generative models
Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration
Experience with large-scale model training, foundation models, model parallelism, multi-node training
Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc
Knowledge of biochemistry, molecular/cell biology, and drug development

Compensation

$200K – $275K + Bonus + Equity

What we offer

A competitive compensation package
30 days paid vacation per year
Comprehensive health insurance for US based Beginners
401K with company match for US based Beginners and Direktversicherung for German Beginners
Quarterly company-wide retreats
Monthly wellness benefit
Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland
Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone
A buddy to help you get settled

Varies by country and does not apply to internships

At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.

We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations. We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

It is the policy of Inceptive to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Inceptive prohibits any such discrimination or harassment.

Inceptive is also committed to welcoming and providing accommodations to people with disabilities. Please let us know if you need any accommodations throughout your application process.

Jetzt bewerben

Erweiterte Suche

engineering internship Jobs in berlin

Foundation and generative models for biomolecules

Product Engineer - Enpal Heat (f/m/x)

Product Owner

Manufacturing Solution Engineer (AI Startup)

Full-Stack Software Developer

Founders Associate Intern (m/w/d) - Startup

Staff Design Engineer, EU

(Senior) Strategist (all genders) - Corporate Development & Innovation

Senior Compliance Tooling Expert (all genders) Autonomous Vehicles

(Senior) Battery Test Engineer, Powertrain Engineering Europe (m/w/d)

Field Installation Engineer (AI Startup)

Founders Associate (Strategy & Retail Expansion) (m/f/d)

(Senior) International Standards Manager (all genders) (Product Compliance)

VLM Research Engineer (m/f/d)

Senior Customer Vehicle Deployment Planner (all genders) – Vehicle Lifecycle Projects

Consultant - Automotive & Digitalization (f/m/x)

Consultant - Automotive Architecture (f/m/x)

(Power) Electronic/Electrical Design Engineer, Drive/Traction Inverter (Powertrain) (m/f/d)

Senior Vehicle Transition & Readiness Manager (all genders) – Vehicle Lifecycle Projects

Product Owner (all genders) - SIM/MNO Management

Ich möchte aktuelle Job-E-Mails für Stellen als engineering internship in berlin erhalten

Related Searches

Weitere Job-Standorte erkunden

Your Mission, should you choose to accept it

Qualifications

Preferred technical skills

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt