Position: Machine Learning Team Lead
Company: Accellabs
Experience required: 5y
English level: upper

**Product: ** The platform in collaboration with leading Weizmann Institute researchers enables molecular-level accurate control in the design of scent, through the use of neural network machine learning.

**Position:**  While our team deals with advanced methods of machine learning in biochemistry and olfactory applications, a strong technical knowledge in algorithms, software development, technical background in mathematics (computational geometry, optimization and statistics) as well as proven experience with machine learning projects is required. 

**You will work on:**
- Collaborating with development and research partners;
- Become a source of technical expertise working closely with the Engineering Director;
- Drive, create and guide the Data Science team to successful delivery;
- Carry out code reviews for the entire project team, and ensure high quality code
- Conduct machine learning research on all aspects of model development to achieve state-of-the-art performance in terms of both accuracy and efficiency;
- Define and implement the metrics used for the evaluation of models and the processes for model acceptance and QA;
- Design and own the curated, labelled datasets that are used for training models and evaluating them;
- Understanding of academic publications and implementing methods accordingly.

**We expect from you:**
- 5+ years of hands-on experience in Python
- Experience in implementing Machine Learning algorithms and applications building
- Solid knowledge of Geometric Neural networks
- Strong math background (computational geometry, optimization and statistics)
- Experience in cloud computation (preferable AWS) and ML Ops
- Strong understanding of software development life cycle
- English - upper intermediate

**Education:** MS/PhD in a relevant field: Computer Science, Data Science, Engineering, Mathematics, Operations Research, Physics, Statistics.

**Will be a plus: ** Experience in leading scientifically oriented teams, specifically in the biochemistry context. 

**Opportunities:**
- To work in an Agile environment
- To cooperate with a mature team
- To influence the product roadmap & decisions
- To build product used worldwide
- To share your knowledge and be recognised
- To ensure tech excellence
- To lead best practices integration
- To mentor less experienced engineers

**Compensation and Conditions:**
- Full remote
- Flexible working hours
- No overtime - healthy work-life balance
- No rush - we thoroughly plan our work
- No limit to vacation
- 1000 $/year: your self-education (courses and training)
- Relocation opportunity to: Poland, Georgia (Accellabs locations).

**Here is the interview process for this role:**
- 20m interview with our Talent Team Partner
- 30m interview - Tech screening with experienced engineers
- 1h interview - Interview introduction with our customer’s representatives 
- 30m discussion - product, role, offer, conditions with our CEO