Company and project

The company operates with the vision to be the leader in making robots more accessible to anyone, wilt the leading role of the pick-assist market in Japan.

With the recent launch of the company, a product the specialist will be closely working on, is redefined Autonomous Storage and Retrieval Systems, blending top-tier performance with unmatched adaptability. With state-of-the-art technology on multi-robot systems, a strong customer base and the financial backing from industry titans like Goldman Sachs, Sony, they invite a strong specialist to join the team in sculpting the future of robotics.

Responsibilities

• Design and implement perception features for warehouse robots
• Work closely with the hardware team to choose the best sensors and compute for our robots
• Develop proof of concepts to demonstrate the value added by robotic perception to customers
• Work with the team to integrate perception features with the rest of the robotics software stack

Requirements

• Strong background in classical computer vision
• Strong background in robotics software engineering, specifically ROS
• Python and C++ programming skills
• Background in Machine Learning for computer vision
• Demonstrable experience in developing real world computer vision applications
• Solid understanding of algorithms and data structures
• Strong analytical and debugging skills
• Ability to build and deliver hands-on technology, proof of concepts, and demonstrations
• At least 2 years of relevant work experience
• Experience developing in a Linux/Unix environment

Preferred skills

• Able to pick up new technologies on the fly
• Basic familiarity with game engines is a plus
• Willingness to look beyond just perception components and analyse the entire system and suggest improvements
• Good communication skills, able to present their work to non-technical audiences

The project - a platform for creating and publishing content on social media using artificial intelligence tools.

Responsibilities

- Implementation, and maintenance of automation tools that interact with the Instagram Graph API to enable actions such as posting, liking, following, and commenting, all while adhering to Instagram's usage policies.

Requirements

- Bachelor's or Master's degree in Computer Science, Software Engineering or related field.

- 3 years or more of software development experience with a focus on web applications and APIs.

- Proficiency in Python, a deep understanding of one or more of these languages, and the ability to write production code.

- Deep knowledge of Instagram Graph API, its features, limitations and best practices for interacting with it is an advantage.

- Experience building automation tools or bots for social media platforms, particularly Instagram, is highly desirable.

- Strong understanding of software design principles, data structures, algorithms and system architecture.

- Knowledge of version control systems (e.g. Git) and CI/CD pipelines.

- Ability to address potential risks associated with automation on the Instagram platform, ensuring a safe user experience.

- Passion for DS and keeping up to date with SotA Machine Learning algorithms and developments is a plus;

We are looking for a skilled and motivated Bioinformatician / Data Scientist to join a dynamic team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in bioinformatics and data science to tackle complex scientific challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data.

Should be able to be present in person at Cambridge, USA office at least once week.

Responsibilities:

• Collaborate closely with clients to understand their specific research goals and design tailored bioinformatics and data analysis solutions.
• Collaborate with interdisciplinary teams of biologists, geneticists, and data scientists to develop and implement computational strategies for analyzing large-scale biological datasets.
• Develop and implement computational pipelines and workflows for processing and analyzing diverse biological data types, including genomics, transcriptomics, proteomics, and metabolomics.
• Participation in development, deployment and optimization of bioinformatic workflows pipelines for processing NGS data (single-cell and bulk RNA-seq). Interpret results from these workflows to generate insights.
• Perform statistical analysis and data mining to identify patterns, correlations, and biomarkers.
• Apply statistical modeling and machine learning techniques to identify patterns, correlations, and predictive models from large-scale datasets.
• Stay up-to-date with the latest advancements in bioinformatics and contribute to the continuous improvement of existing methodologies and algorithms.
• Present findings and results to internal teams and external stakeholders in a clear and concise manner.
• Deploy and optimize bioinformatic workflows for the integration and analysis of NGS data, including short and long read sequencing data. Interpret results from these workflows to generate insights.
• Perform quality control checks, align sample data to the reference genome, and produce variants called files (VCFs), and joint-genotyped VCF files.
• Conduct statistical and genomic analysis, develop custom algorithms.

What we expect:

• B.S. or M.S. level of relevant education with hands on experience (Computer Science, Bioinformatics etc) in NGS workflow development and analysis.
• Experience with GxP, Genedata Selector and NGS for Cell Therapy domains is a must.
• Solid understanding of bioinformatics concepts, algorithms, and tools.
• Proven experience in analyzing high-throughput genomic, transcriptomic, or proteomic data.
• Hands-on experience with creating single-cell and bulk RNA-seq data processing pipelines.
• Proficiency in pipeline development using Nextflow, Cromwell, or other popular framework.
• Experience with Python programming language. Proficiency in programming languages such as Python or R and experience with relevant bioinformatics software and tools.
• Solid knowledge of statistical analysis, machine learning, and data mining techniques.
• English level C1 or higher.

Nice to have:

• Experience in next-generation sequencing (NGS) data analysis and variant calling.
• Knowledge of structural bioinformatics and molecular modeling.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Experience with deploying pipelines to AWS.
• Familiarity with cloud computing platforms and big data analysis frameworks.
• Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and communicate complex concepts to non-technical stakeholders.

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.