Gensyn jobs

Head of Marketing Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - We're looking for a strategic and hands-on Marketing Leader to build and lead Gensyn's marketing function. This is a hybrid role at the intersection of product marketing, content creation, and community engagement. You'll define and execute our go-to-market strategy, lead a world-class team, and represent a first-of-its-kind technology at the cutting edge of AI and blockchain Responsibilities - Set the vision and strategy for Gensyn's marketing function - Build, lead, and mentor a high-performing team across product marketing, content development, and community engagement - Drive go-to-market execution for technical products, including messaging, positioning, and launch strategies - Partner with engineering and product to translate complex ideas into compelling narratives for technical audiences - Represent Gensyn externally - in content, at conferences, and in developer communities - Manage marketing budgets and resources to maximize reach, adoption, and impact - Define success metrics and own performance across all marketing verticals Competencies Must have

Research Intern Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices. Responsibilities - Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale - Design and prototype novel neural network architectures for decentralized compute environments - Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR Competencies Must Have - Currently enrolled in a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine Learning, or a related field - Prior experience conducting original research, ideally with authorship or co-authorship on ML papers - Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow

Technical Product Manager Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role We're looking for a Technical Product Manager to own Gensyn's core infrastructure systems - foundational primitives such as REE (verifiable execution of AI/ML workloads) and AXL (p2p networking for AI agents) along with the execution, coordination, and training layers that power our decentralized AI protocol. This is a 0-1 role. You will shape low-level infrastructure, define developer-facing surfaces, and help identify how our tech reaches real product-market fit. Responsibilities - Own product direction and delivery for core infrastructure systems. - Partner with engineering and research to shape complex systems into usable products. - Translate distributed systems and ML workflows into clear developer-facing abstractions. - Define APIs, SDKs, and workflows that enable others to build on the protocol. - Engage directly with technical users (ML Engineers & Researchers) to identify friction and improve usability. - Identify and validate early product-market fit through use cases and design partners. - Connect technical capabilities to real-world

Open Application Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - You tell us! Responsibilities - Further our mission to build the infrastructure to train ultra-high scale, open source, foundation models Competencies Must Have - Autonomy - able to drive things forward in a high entropy environment - Deep appreciation of small-scale, high-powered teams Preferred - Web3 experience - previously worked on a low-level web3 protocol - Machine learning experience - previously worked closely with ML technologies as a developer or power user Nice to Have - Cryptography engineering (with a focus on GPUs) - Understanding and navigating AI & Crypto regulations - Cryptoeconomics and game theoretic design Compensation / Benefits - Competitive salary + share of equity and token pool - Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones - Visa sponsorship - available for those who would like to relocate to the US after being hired - 3-4x all expenses paid

Gen AI Engineer In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below: • Participate in data extraction, transformation, and preparation. • Resolve common data issues and ensure quality for model development. • Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts. • Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics. • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. • Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support. • Identify data sources and extract from RDBMS and develop UI/UX for client usage. • Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages. • Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility. • Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively. • Apply predefined quality measurement frameworks, if any, to individual project tasks. • Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements. Your contribution to the team: • Strong analytical and problem-solving mindset with hands-on model development skills. • Ability to translate business needs into actionable analytics solutions. • Focus

Gen AI Engineer In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: • Develop data preparation tasks, while identifying patterns or anomalies. • Ensure data readiness for advanced modeling. • Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions. • Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices. • Design and develop predictive models and data-driven analyses to address business challenges. • Build, evaluate, and deploy models, standardize code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance. • Proactively maintain models and implement improvements for accuracy and reliability. • Apply governance controls to mitigate risks and ensure compliance. • Analyze performance trends, recommend improvements, and document discrepancies for escalation. • Maintain comprehensive documentation standards, while participating in knowledge transfer sessions. • Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models. • Apply the predefined quality measurement framework at an individual task level in the project. • Deploy complex analytics tools or multi-system integration, while validating deployment success. • Participate in developing scripts or templates for repeated deployments tasks.

Gen AI Solution Engineer In the assigned Job Role of Data Science Consultant 3, your Area Of Responsibility will be as below: • Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI. • Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs. • Review plan for smooth deployment into scalable, production-ready solutions. • Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals. • Build models and analytics solutions tailored to business needs. • Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Review and refine analytics problems; identify data sources and extract from diverse environments. • Oversee analysis execution and drive business insights. • Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness. • Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders. • Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions. • Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy. • Review analytics outputs for adherence to quality frameworks and project commitments. • Recommend improvements to

Staff GenAI Engineer - AMS Design and Optimization San Jose, CA posted: Posted 30+ Days Ago

Software Engineer GenAI (ROU, Hybrid) Romania - Bucharest posted: Posted 11 Days Ago

Gen AI Python Software Engineer BELFAST, United Kingdom

Sr. Manager, Gen AI Software Engineering Pleasanton, California, United States of America Join our team as a Senior Manager, GenAI Software Engineering and lead the development of cutting-edge Generative AI solutions for scientific and healthcare applications. Drive innovation, mentor top talent, and shape the future of AI in genetic sciences. Make a real impact with ThermoFisher Scientific in a dynamic, hands-on leadership role.

Gen Al Data Scientist for Digital Marketing Bangalore BTP (India)

GenMed Account Manager Barcelona, Barcelona, Spain Embrace the opportunity to become a GenMed Account Manager and drive growth in life sciences and diagnostics. Build trusted client relationships, expand market share, and deliver innovative solutions. If you have a background in life sciences, strong sales skills, and a passion for making a difference, this is your opportunity to excel in a dynamic, remote role.

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Sr. Data Scientist - GenAI Toronto, Ontario posted: Posted 10 Days Ago

Senior Data Scientist, Gen AI Foundation South San Francisco, California, United States of America Join our team as a Senior Data Scientist, GenAI Foundation and drive the development of next-generation agentic systems. Leverage your expertise in RAG architectures, LLM frameworks, and GenAI tools to shape scalable, secure infrastructure. Collaborate globally to deliver innovative AI solutions that transform healthcare and business outcomes.

GenAI Engineer II Niskayuna posted: Posted 9 Days Ago

Sr. Worldwide Specialist – GenAI/ML, Accelerate Compute, Data & AI GTM Seattle, Washington, USA Do you want to help define the future of Go to Market (GTM) at AWS using generative AI? You will be part of the core worldwide GenAI Models team, responsible for helping our customers build and deploy Generative AI (GenAI) models to power end applications and use cases across industry verticals. You will engage with product owners to influence product direction and help our customers tap into new markets by utilizing GenAI along with AWS Services. You will be working directly with GenAI model providers, Inference service providers, and ISVs, around model performance evaluations and optimization on AWS infrustructure, developing demos and proof-of-concepts of GenAI end applications and use cases with large models. Key job responsibilities You will help develop the industry's best cloud-based solutions to grow the GenAI business. Working closely with our product and field teams and partners like ISVs and 3rd party model providers, you will help enable new capabilities for our customers to develop and deploy GenAI workloads across Edge devices and AWS. This involves activities like market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts (POC), creating content to train the field teams, and driving thought-leadership. As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with startups and large enterprises. You have domain expertise in GenAI and key ML use cases, as well as the

Sr Genomic Solutions Sales Specialist Remote, Norway Join our team as a Senior Genomic Solutions Sales Specialist and drive revenue growth by delivering cutting-edge analytical instruments and consumables. Leverage your expertise in molecular biology and capital equipment sales to build strategic relationships with key decision makers. Make a global impact in life sciences with Thermo Fisher Scientific.

Data Scientist / GenAI Developer - IFM Budapest, Hungary posted: Posted 30+ Days Ago

Senior GenAI Engineer 2 Locations posted: Posted 10 Days Ago