ML-Ops Engineer

About Aqemia

Aqemia is a next-generation pharmaceutical company generating one of the fastest drug discovery pipelines in the world. Our mission is to develop groundbreaking, fast-acting drug candidates for scores of severe diseases. What sets us apart is our proprietary quantum mechanical and statistical algorithms that power generative artificial intelligence to design new drug candidates.

The velocity and precision of our technology platform allows us to scale drug discovery projects as technology projects.

We’ve grown to a team of over 45 highly motivated and spirited individuals standing at the intersection of Chemistry, Machine Learning, Physics, and Software Engineering.

We are proud to announce that we've raised $12 million from leading VCs.

If this sounds exciting to you, come and join us!

ML-Ops Engineer

The difference you’ll make

As an ML-Ops Engineer, you will manage models' life-cycles and help our teams make the most of them in drug-discovery projects. 

You will join our Software Engineering team and work in multidisciplinary project teams with chemists, machine learning and data engineers, to solve complex problems with large amounts of biological and chemical data.

Job Description

You will :

  • Design, benchmark and implement all the steps of models lifecycle: distributed data-processing and training, large scale inference, model monitoring…
  • Build benchmark datasets with ML engineers, chemists and physicists, and automate the quality control of new models
  • Work with ML engineers to optimize deep neural networks on graphs and geometric data (eg. neural networks compilation, hyperparameter tuning pipelines…)
  • Propose and implement innovative solutions to speed up the feedback loop from experimental results to new model versions
  • Take part to strategic discussions about designing a new solution vs resorting existing tools
  • Share best practices, literature and most recent developments in the ML-Ops field within the ML team.
  • Help us find the best solutions with your experience and understanding of our use-cases

Who You Are

You have strong skills in Python and Docker. You have in-depth knowledge of the ML-ops lifecycle, and good understanding of the theoretical foundations of machine learning and in-depth knowledge of open-source ML-Ops tools, and curiosity to follow and test new developments in the field. You are familiar with the common packages used to design and train machine learning models, especially deep neural networks. You have experience with one the major cloud platforms AWS, GCP or Azure and  with continuous integration and deployment (CI/CD) frameworks. It is a plus if you have experience with deep learning compilation frameworks. You have interest for life sciences and willingness to learn from domain experts

You should join us if you want to solve difficult problems on topics that really matter and if you are passionate about what you do and enjoy sharing your knowledge. If you want to build a ML platform with a small team and bring your own impact in drug discovery and if you want to combine the rigor of large companies ML platforms with the speed of a startup, you should apply now.

Our Workplace Environment

  • Fast-paced, intellectually and scientifically demanding, results-driven.
  • Our Founders boast

- 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge.

- 10+ years experience in strategy consulting at BCG.

  • Aqemia has a rapidly growing team of +40 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
  • Our premises are conveniently located in center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
  • Working language: English


Should you wish to apply for this position please send us your resume at
careers@aqemia.com

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch! 

Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.

BACK TO CAREERS

ML-Ops Engineer

Paris, France

The difference you’ll make

As an ML-Ops Engineer, you will manage models' life-cycles and help our teams make the most of them in drug-discovery projects. 

You will join our Software Engineering team and work in multidisciplinary project teams with chemists, machine learning and data engineers, to solve complex problems with large amounts of biological and chemical data.

Job Description

You will :

  • Design, benchmark and implement all the steps of models lifecycle: distributed data-processing and training, large scale inference, model monitoring…
  • Build benchmark datasets with ML engineers, chemists and physicists, and automate the quality control of new models
  • Work with ML engineers to optimize deep neural networks on graphs and geometric data (eg. neural networks compilation, hyperparameter tuning pipelines…)
  • Propose and implement innovative solutions to speed up the feedback loop from experimental results to new model versions
  • Take part to strategic discussions about designing a new solution vs resorting existing tools
  • Share best practices, literature and most recent developments in the ML-Ops field within the ML team.
  • Help us find the best solutions with your experience and understanding of our use-cases

Who You Are

You have strong skills in Python and Docker. You have in-depth knowledge of the ML-ops lifecycle, and good understanding of the theoretical foundations of machine learning and in-depth knowledge of open-source ML-Ops tools, and curiosity to follow and test new developments in the field. You are familiar with the common packages used to design and train machine learning models, especially deep neural networks. You have experience with one the major cloud platforms AWS, GCP or Azure and  with continuous integration and deployment (CI/CD) frameworks. It is a plus if you have experience with deep learning compilation frameworks. You have interest for life sciences and willingness to learn from domain experts

You should join us if you want to solve difficult problems on topics that really matter and if you are passionate about what you do and enjoy sharing your knowledge. If you want to build a ML platform with a small team and bring your own impact in drug discovery and if you want to combine the rigor of large companies ML platforms with the speed of a startup, you should apply now.

Our Workplace Environment

  • Fast-paced, intellectually and scientifically demanding, results-driven.
  • Our Founders boast

- 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge.

- 10+ years experience in strategy consulting at BCG.

  • Aqemia has a rapidly growing team of +40 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
  • Our premises are conveniently located in center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
  • Working language: English


Should you wish to apply for this position please send us your resume at
careers@aqemia.com

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch! 

Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.