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Machine Learning Engineer Job Opening In Berlin – Now Hiring Reliant AI

Machine Learning Engineer

    Germany Jobs Expertini Expertini › Germany › Jobs › Berlin › Computer Occupations › Machine Learning Engineer

Job description

About Reliant

We believe that making the best decisions means looking at all the facts – a near-impossible task in our era of information overload.

To fix this, we are building the next generation of machine learning software.

Powered by generative AI, our algorithms analyze key information sources and provide comprehensive, factual answers for even your most complex queries.

We believe that the transformative impact of generative AI will be only realized by those willing to take on the world’s biggest information challenges.

To make this future come true, we deploy our longstanding expertise in reinforcement learning and natural language processing.

We are scientists.

Builders.

Entrepreneurs.

We spearheaded many of AI’s most impactful applications.

We led teams at Google, DeepMind, and EY Parthenon.

We now bridge cutting-edge AI research and the biopharma industry.

About the role

We are looking for a Machine Learning engineer with a strong track record working on applied ML.

Bonus points if you have worked in the life sciences.

You’ll play a central role in defining and building our ML platform, enabling cutting-edge AI agents that excel at discovering and organizing knowledge.

Your work will help lay the foundation for a  new way of working with data.

If you are passionate about applying AI to real-world problems, thrive in a fast-paced environment, and are excited about contributing to the growth of an ambitious startup, we’d love to hear from you.

What we’d love you to do (and love doing)

Your day to day work will mainly include building text based generative AI applications end-to-end with a strong focus on benchmarking and experimentation with models, prompts and system design.

Also there are ample opportunities to dive deeper into topics, such as synthetic data generation, model distillation, training embedding models for retrieval, etc.

Am I a good fit?

Ask yourself the following questions:

  • How does a transformer work?
  • What is an embedding?
  • What is a dataclass in Python?
  • What is a quick way to share an interactive demo with colleagues?

If you find these questions straightforward and can explain at least three of the answers clearly, you’re likely a good fit for this role.

We’d love to see

  • A Master’s degree in Computer Science, Physics, Mathematics, Engineering or a similar quantitative field — or equivalent practical experience.

    Bonus if you have NLP or reinforcement learning experience.
  • Proven experience implementing practical ML algorithms and scaling them to millions of datapoints.
  • 3+ years of experience developing in Python.
  • Familiarity with at least one ML framework such as PyTorch, JAX, TensorFlow, or similar.
  • Bonus: Experience applying AI to the life sciences or related fields.
  • Bonus: Familiarity with cloud tooling around one or more of CI/CD, dockerization, model serving, data processing.

We’re hiring across experience levels, from junior to senior, and will calibrate the role and responsibilities based on your background and expertise.

What we offer

We’re building a high-impact, mission-driven company — and we want our team to share in that success.

Here’s what we offer:

  • An amazing team - work with curious, ambitious people who genuinely care about solving meaningful problems.
  • Competitive Salary tailored to your experience and the role level.
  • Equity / Stock Options — meaningful ownership in the company’s future.
  • Generous Paid Time Off — including 27 vacation days.
  • On-site Work Arrangements with Flexibility — on-site first culture with regular days for remote work.
  • Learning & Development Budget — for books, courses, or conferences that help you grow.
  • Fast Growth Environment — be part of shaping both the technology and the company from the ground up.
  • Regular Team Retreats — we bring the team together at least once a year to collaborate and have fun.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Berlin, Germany, highlighting market share and opportunities for professionals in Machine Learning roles.

844 Jobs in Germany
844
103 Jobs in Berlin
103
Download Machine Learning Jobs Trends in Berlin and Germany

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Reliant AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Germany laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer?

Key qualifications for Machine Learning Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Machine Learning Engineer?

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Interview Tips for Machine Learning Engineer Job Success

Reliant AI interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Reliant AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer interview at Reliant AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Reliant AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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