Role Description At BioRender, we’re on a mission to accelerate the world’s ability to learn, discover, and communicate science — transforming how knowledge is shared and making science open, collaborative, and easily understandable by all. Our Machine Learning Team is at the forefront of this vision, automating figure generation from diverse user inputs like experimental protocols and research publications, and producing scientifically accurate, editable visuals using our library of icons and templates. We’re looking for a Machine Learning Engineer who is excited to tackle hard, unsolved problems that go beyond off-the-shelf capabilities. - Combine computer vision and code generation: Develop structured, editable visuals (e.g., SVG/JSON) that accurately represent scientific concepts. - Create story-driven scientific visuals: Design models that capture the appropriate level of detail, layout, and structure to effectively communicate complex biological concepts. - Leverage scientific understanding: Build technology that understands the nuances of biological research to produce scientifically accurate visuals. - Enable chat-driven figure editing: Implement intuitive, natural language-based editing of visuals while preserving their scientific integrity. Qualifications - Deep technical expertise in machine learning - A passion for solving novel challenges - An enthusiasm for helping scientists communicate groundbreaking research faster and more effectively Requirements - Scientific and research background (nice to have) Benefits - We are mission-driven: we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications! - BioRender is loved by millions! We have a world-class NPS and a community of loyal fans and users in 200+ countries! - Our company is backed by top investors and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies. - We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere. Company Description BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. By submitting this application, you consent to the processing of your personal data by BioRender in accordance with GDPR and our Privacy Policy.

Role Description Data Idols are working with a global retail organisation looking for an experienced E-Learning Developer to support the creation of engaging digital learning content across their internal data products. You’ll be responsible for designing and developing interactive learning content to support business users in adopting data tools and platforms. This includes working closely with stakeholders across data, product, and operations teams to translate complex concepts into clear, engaging training experiences. Qualifications - Strong experience with Articulate Storyline - Experience using Articulate Rise - Proven background in e-learning or instructional design - Excellent stakeholder communication skills Company Description

• Implement machine learning models as scalable backend services in accordance with our development and security guidelines • Collaborate closely with Data Scientists to take models from prototype to production • Continuously improve and optimize machine learning models in production • Translate customer requirements into effective, scalable ML solutions • Design and implement secure APIs and backend components • Develop and maintain data access layers (e.g., MS SQL, Elasticsearch) • Ensure high standards of quality, performance, and security • Contribute to technical specifications and architecture decisions

• Lead the team that architects and designs notifications relevance at Reddit. • Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking. • Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement. • Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy. • Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges. • Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals. • Communicate your team’s work and set expectations with cross-functional stakeholders. • Help your engineers identify career goals and create development plans to achieve them. • Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.