Syntheticfi jobs

Software Licensing Advisor Middleton, Christchurch Software Licensing Advisor

Solutions Engineer Epsom, Auckland Solutions Engineer

Support Engineer Epsom, Auckland Support Engineer

Service Delivery Coordinator (North Island) Auckland or Wellington, North Island Service Delivery Coordinator (North Island)

Lenovo Product Specialist Various Locations, - Lenovo Product Specialist

Service Coordinator Mt Wellington, Auckland Service Coordinator

Client Services Manager (Schools) Middleton, Christchurch Client Services Manager (Schools)

Synthetic Biology Specialist - Freelance AI Trainer Project United States of America Are you a master of synthetic biology eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, accelerate bioengineering research, and enable innovative applications in medicine, agriculture, and industry. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for specialists who live and breathe synthetic biology, genetic circuit design, metabolic engineering, genome editing (CRISPR/Cas systems), systems biology, biomanufacturing, and computational modeling. You'll challenge advanced language models on topics like gene synthesis, chassis organism optimization, promoter and ribosome binding site tuning, pathway assembly, biosafety and ethical considerations, and emerging technologies-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab workflows and theoretical synthetic biology questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in synthetic biology, molecular biology, bioengineering, or a closely related life‑science field is ideal; peer‑reviewed publications, hands‑on experience with synthetic biology techniques, or work in industrial or academic bioengineering labs signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your synthetic biology expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range

Synthetic Data Generation and User Simulation PhD Research Intern — Fall 2026 US, CA, Remote posted: Posted 16 Days Ago

Intern Synthetic Data Generation for Autonomous Driving (f/m/x) Location not specified SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE. SHARE YOUR PASSION. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And that's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. We focus on producing high-quality synthetic simulation data using advanced generative AI models to effectively train and validate machine learning algorithms within autonomous driving environments. What awaits you? You will support the advancement of synthetic data generation for autonomous driving. Furthermore, you help to develop and optimize advanced data generation and simulation models. In addition, you will assist with hands-on tasks using cutting-edge computer vision and latent diffusion models. Moreover, you contribute to impactful solutions for autonomous driving environments. Furthermore, you support the optimization of machine learning pipelines, architectures, and algorithms. What should you bring along? Studies in computer science, artificial intelligence, or a related field. Advanced expertise in machine learning and deep learning, both theoretical and practical. Proficiency in Python, PyTorch, and Huggingface. Hands-on experience with generative models, especially diffusion-based architectures. Skill in designing and optimizing

Simulation Synthetic Data Engineer - Special Projects Cupertino, United States of America Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Synthetic Data Engineer. You would join a team using simulation to generate synthetic data. Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. As a Simulation Synthetic Data Engineer, you will help develop next-generation simulation technology powering a broad range of AI/ML efforts at Apple. You will work on highly ambitious projects that transform ideas into production tools and datasets used across the organization to develop new Apple products. We're looking for an engineer who is both practical and inventive-comfortable extending existing simulation frameworks, experimenting with new approaches, and iterating quickly from prototype to high-quality implementation. You will collaborate closely with engineers, technical artists, animators, and research teams to deliver scalable pipelines and compelling synthetic data. Your work will

Researcher, Synthetic RL San Francisco, California, United States About the Team The Synthetic RL team develops reinforcement learning methods that leverage synthetic data, environments, and feedback to train and evaluate frontier AI models. The team explores approaches such as self-play, simulators, and other synthetic evaluations to push model capability, generalization, and alignment beyond what is possible with the current prevailing methodology. About the Role As a Research Scientist on the Synthetic RL team, you will develop novel reinforcement learning techniques that use synthetic environments and feedback to improve large-scale models. You'll work closely with other researchers to design experiments, analyze learning dynamics, and translate research insights into training approaches used in production systems. We're looking for researchers who enjoy working on open-ended problems, value fast iteration, and want their work to directly shape how frontier models are trained. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Research and develop reinforcement learning algorithms - Design and run experiments to study training dynamics and model behavior at scale - Collaborate with engineers and researchers to integrate successful approaches into model training pipelines You might thrive in this role if you: - Have a strong background in reinforcement learning, machine learning research, or related fields - Have strong engineering and statistical analysis skills - Enjoy exploring new problem spaces where data, objectives, and evaluation are imperfect

Intern AI Synthetic Data Generation (f/m/x) Location not specified THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE. SHARE YOUR PASSION. World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. We, the BMW Group, bring new, innovative, and emerging technologies to industrialization in our IT department Innovation, Emerging Technologies at the IT Technology Office Munich. Our core tasks include technology scouting and the continuous development of our processes, products, and services. We establish new technologies profitably in all business areas and create sustainable added value for our customers and the BMW Group. What awaits you? You will support the development of AI synthetic data approaches for our open-source AI solutions. Furthermore, you will learn how to use and program Google Gemini. In addition, you assist in implementing custom data processing pipelines for AI-based synthetic data generation. Moreover, you contribute to conducting literature reviews for machine perception. What should you bring along? Studies in economics, engineering, computer science, design, or a comparable field. Knowledge in AI, deep learning, Python, NLP, and LLM. Curiosity and motivation to familiarize

Synthetic ISR Scenario Developer Las Vegas, NV posted: Posted 30+ Days Ago

Synthetic Biology Leader Indianapolis, Indiana, United States posted: Posted 30+ Days Ago

Applications Scientist - Synthetic Biology Leuven, Belgium Embrace the opportunity to become an Applications Scientist - Synthetic Biology and play a key role in biosecurity screening, technical support, and advancing genomics solutions. Collaborate with global partners, support customers, and drive innovation in life sciences. Shape the future of biotechnology with Integrated DNA Technologies and make a real impact in healthcare and diagnostics.

Senior Scientist, Synthetic Data and Privacy 5 Locations posted: Posted 2 Days Ago

Senior Scientist, Synthetic Data Generation 5 Locations posted: Posted 2 Days Ago

Analyst - Synthetic Prime, Client Services New York, New York posted: Posted 7 Days Ago

Senior Member of Technical Staff, Synthetic Data Toronto | Remote | New York | London | Paris | Montreal Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere's advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them

Associate - Synthetic Prime, Client Services New York, New York posted: Posted 7 Days Ago

Senior Production Support Analyst, Synthetic Prime Singapore, Singapore posted: Posted 3 Days Ago

Staff/Principal Software Engineer San Francisco | OnSite STAFF/PRINCIPAL SOFTWARE ENGINEER At Synthetic https://synthetic.ai we are synthetically recreating the professional service of bookkeeping using AI. Our product processes financial data, manages bookkeeping workflows, and communicates with customers autonomously. Read more about us in Betakit https://betakit.com/ian-crosby-is-back-with-a-new-accounting-startup-for-the-agentic-ai-era/ and Axios https://www.axios.com/pro/fintech-deals/2026/05/14/synthetic-10m-ai-bookkeeping-seed. We are the founding team that previously built Bench Accounting from an idea to a successful business with >$100M raised and >600 employees, and Teal (acquired by Mercury). We're back in the SMB accounting space, this time working on a bigger idea with even greater potential. Synthetic was founded in November 2025. We're a five person team so far. We have early test customers and a working prototype of our product that's advancing daily. We're seeking someone smart and hungry to join up and help build the next iterations of the product. We are building in San Francisco. We work 6 days a week in person to make our product a reality. We're looking for people of exceptional competence to join our team. If this is you, and you want to work on the future of autonomous professional services, apply. WHAT YOU'LL DO HERE - Build agents that interact with customers and do accounting autonomously. - Build an accounting ledger from the ground up. - Integrate with financial data providers. - Ship new features daily in Typescript/NextJS. - Make lots of decisions quickly. - Take risks. WHAT YOU BRING TO THE TABLE - 5+ years software engineering experience. - A pragmatic approach to

Synthetic Chemist Wharton, NJ posted: Posted 30 Days Ago