Role Description As a member of the Recommendations team, you will apply cutting-edge Machine Learning techniques to build the best recommendations-as-a-service product on the market, transforming the ecommerce experience for hundreds of millions of users worldwide. - Build high-load, real-time recommendation service. - Build end-to-end ML pipelines driving measurable business impact. - Design metrics to evaluate recommendation relevance and performance. - Lead the full development lifecycle from initial design to production. - Participate in strategic planning to help drive product evolution and prioritization. - Collaborate with stakeholders to align technical roadmaps with business needs. - Deep understanding of ML fundamentals and experience building large-scale recommendation, retrieval, or ranking systems. - Expertise in Python and SQL, with hands-on experience in big data systems (e.g., Spark, Presto/Athena, Hive). - Production-level ML experience, including deploying models to production and designing A/B tests to validate business impact. - Analytical mindset with the ability to translate intuition into data-driven hypotheses and high-value engineering solutions. - Excellent communication skills in English, capable of explaining complex technical concepts to non-technical stakeholders. Benefits - 🏝️ Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year. - 🌎 Fully remote team - choose where you live. - 🛋️ Work from home stipend - we want you to have the resources you need to set up your home office. - 💻 Apple laptops provided for new employees. - 🧑‍🎓 Training and development budget - refreshed each year for every employee. - 👪 Maternity & Paternity leave for qualified employees. - 🧠 Work with smart people who will help you grow and make a meaningful impact. - 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results. - 📈 Stock options - offered in addition to the base salary. - 🎉 Regular team offsites to connect and collaborate. Company Description At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.

Join our Team Research Intern As the tech firm that created the mobile world, and with more than 60,000 patents to our name, we've made it our business to make a mark. When joining our team as an Intern at Ericsson you get a taste of shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in? Come, and be where it begins. Our Exciting Opportunity Ericsson Research develops new communication solutions and standards. The organization has a responsibility to provide Ericsson with world-class system concepts, technology innovations, and methodology. We are looking for an Intern to work together with our recently established research group in Japan. The focus is on air interface concepts, algorithm research, standardization (mainly 3GPP), and potentially some testbed/trial activities. What you will do & You will bring What you will do • Investigate and evaluate concepts and solutions for future radio access technologies and standards, related to 5G Evolution and 6G, • Develop and improve work of existing standards, • Work with physical layer techniques (multiple access technologies, modulation, channel coding, parameter estimation, multi-antenna transmitter and receiver algorithms, etc.), • Use simulation tools as means of evaluation. Depending on the achieved results during the internship, it will be possible to write publications. You will bring • B.Sc. or M.Sc. degree, preferably with demonstrated experience and knowledge in the above-mentioned required skills. • Competence and experience in signal processing, wireless communications, and machine learning. • Programming skills, for example, python, Java, MATLAB, C++, because computer simulations will be natural parts of the work in addition to analytical evaluations. • Good knowledge in simulation and evaluation tool methodology. • Good communication in written and spoken English is needed. Good communication in Japanese is preferable. • Ability to handle theoretical and practical research as well as the development aspects of the work. • Team skills, since collaboration and interaction with other skilled researchers daily, are the basis for our ways of working. Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Japan (JP) || Yokohama Req ID: 784214

Join our Team Research Intern As the tech firm that created the mobile world, and with more than 60,000 patents to our name, we've made it our business to make a mark. When joining our team as an Intern at Ericsson you get a taste of shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in? Come, and be where it begins. Our Exciting Opportunity Ericsson Research develops new communication solutions and standards. The organization has a responsibility to provide Ericsson with world-class system concepts, technology innovations, and methodology. We are looking for an Intern to work together with our recently established research group in Japan. The focus is on air interface concepts, algorithm research, standardization (mainly 3GPP), and potentially some testbed/trial activities. What you will do & You will bring What you will do • Investigate and evaluate concepts and solutions for future radio access technologies and standards, related to 5G Evolution and 6G, • Develop and improve work of existing standards, • Work with physical layer techniques (multiple access technologies, modulation, channel coding, parameter estimation, multi-antenna transmitter and receiver algorithms, etc.), • Use simulation tools as means of evaluation. Depending on the achieved results during the internship, it will be possible to write publications. You will bring • B.Sc. or M.Sc. degree, preferably with demonstrated experience and knowledge in the above-mentioned required skills. • Competence and experience in signal processing, wireless communications, and machine learning. • Programming skills, for example, python, Java, MATLAB, C++, because computer simulations will be natural parts of the work in addition to analytical evaluations. • Good knowledge in simulation and evaluation tool methodology. • Good communication in written and spoken English is needed. Good communication in Japanese is preferable. • Ability to handle theoretical and practical research as well as the development aspects of the work. • Team skills, since collaboration and interaction with other skilled researchers daily, are the basis for our ways of working. Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Japan (JP) || Yokohama Req ID: 784213

Role Description At Apheris, we power federated data networks in life sciences to address the data bottleneck in training highly performant ML models. Our product enables biopharma organizations to collaboratively train higher quality models on their combined data. The Apheris product is a set of drug discovery applications enriched with the proprietary data of network participants. Our federated computing infrastructure with built-in governance and privacy controls ensures that the data IP and ownership always stays with the data custodians. We are looking for a Senior ML Engineer to drive the technical execution for our structural biology models. This is a hands-on, high-impact role focused on: - Advancing the state of the art in applying foundational models to structural biology problems. - Working closely with our leadership team as the technical authority on ML modelling, architecture, and experimentation. What you will do - Build and implement ML applications in structural biology, particularly around fine-tuning and extending foundational models like OpenFold, Boltz-2, and ESMFold. - Design and implement model extensions for specific tasks such as protein complex and binding affinity prediction, including data distillation, benchmarking, and evaluation pipelines. - Work with customers and academic partners to define data preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data. - Carry out case studies associated with the above, providing scientific and technical expertise to customers. - Design, build, and maintain scalable machine learning models and the pipelines needed for training, inference, and deployment in production. - Collaborate cross-functionally to ensure models address real-world drug discovery needs. - Contribute to publications or open-source contributions where relevant. What we expect from you - By month 3: Develop a deep technical understanding of the Apheris product and contribute to delivery of at least one customer-driven cofolding project. - By month 6: Build a customer-ready package for results analysis and drive adoption of Apheris-generated models with customers. - By month 12: Take ownership of a customer-driven cofolding model development stream and drive product requirements. You should apply if - You have deep experience building and training contemporary models in production, at scale (e.g., AlphaFold, OpenFold, Boltz) and are familiar with modern MLOps tooling. - You have experience applying ML to real-world protein structure or drug discovery problems. - You are comfortable working in a fast-paced startup environment and enjoy customer-driven projects. - You understand the technical challenges of structural biology and can design scalable data preprocessing, training, and evaluation workflows. Nice to have - You have experience in federated learning, privacy-preserving ML, or privacy-preserving model training. - You’ve published in ML or biology journals/conferences (e.g., NeurIPS, ICML, Nature Methods, Bioinformatics). Benefits - Industry-competitive compensation, including early-stage virtual share options. - Remote-first working – work where you work best, whether from home or a co-working space near you. - Great suite of benefits, including a wellbeing budget, mental health benefits, a work-from-home budget, a co-working stipend, and a learning and development budget. - Regular team lunches and social events. - Generous holiday allowance. - Quarterly All Hands meet-up at our Berlin HQ or a different European location. - A fun, diverse team of mission-driven individuals with a drive to see AI and ML used for good. - Plenty of room to grow personally and professionally and shape your own role. Logistics Our interview process is split into three phases: - Initial Screening: If your application matches our requirements, we invite you to an initial video call to explore the fit. - Deep Dive: A domain expert will assess your skills and knowledge required for the role. - Final Interview: Up to three hours of targeted sessions with our founders, discussing our culture and meeting future co-workers.