As a Senior Machine Learning Engineer at Recursive you will be working on state of the art AI research and development projects.
Recursive collaborates directly with corporations who present us with challenges that can be addressed through data science, machine learning, deep learning, software engineering, or a combination of these fields. Our Machine Learning Engineers are integral to every data-related aspect of solving our clients’ problems, encompassing data collection, data engineering, analysis, AI modeling, and model deployment.
Our MLEs have engaged in diverse projects, including developing product recommendation systems, forecasting from time series data, generating images and videos using generative AI, and tackling natural language processing challenges.
You’d have enough experience working as a professional MLE to have a broad base of knowledge to work from while being deep enough in one or two areas to solve unique problems as more than an individual contributor. The role is dynamic and multifaceted, with each project having its distinct requirements and challenges.
Responsibilities
- Conduct comprehensive data collection, often involving literature and dataset reviews to assess dataset availability and data collection methodologies.
- Employ data visualization and analysis techniques to extract meaningful insights from the collected data.
- Engage in data engineering tasks, which often requires deepening your understanding of the problem, and analyzing the data in different lights.
- Develop machine learning or deep learning models; a process that typically encompasses literature reviews, the formulation of modeling proposals, technical discussions with the team, model training, inference runs, and result evaluations.
- Collaborate closely with our project managers to gain a comprehensive understanding of the client’s needs and devise a strategy for a successful project delivery.
- Thoroughly document your work and share your findings with the team.
Requirements
- ~5 years of AI research and development experience.
- A broad base of knowledge to work from while being deep enough in one or two areas to solve unique problems as more than an individual contributor.
- Either being willing to relocate to Japan or work from Europe and Asia timezones (Oceania ok).
Nice to haves
While not specifically required, tell us if you have any of the following.
- Background in a scientific or engineering discipline (e.g. Physics, Mathematics, Biology, Computer Science, Aerospace or Electrical Engineering, etc).
- Sufficient experience in Machine Learning in a professional capacity in order to know the ins-and-outs of the job.
- Experience in mentoring small teams in the Machine Learning context.
- Basic understanding of programming and a willingness to learn more.
- Drive to learn new topics and improve existing methods and processes.
- Informed and passionate about the latest developments in the AI Field
- Want to have a positive impact on society and environment through work
- Industry experience in the fields of Machine Learning, AI or Computer Vision
