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Location: Intellias Meet your recruiter Ivanna Kukliak ivanna.kukliak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Data Analyst Strong Middle Ukraine Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With more than 3 000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our Client is the largest Ukrainian telecommunication operator providing communications and data services based on a broad range of mobile and fixed-line technologies, including 4G. Company’s customer base amounts to over 26 million in mobile and more than 1 mln in broadband internet. What you will do Working as a part of one or more agile teams as an ETL System Analyst Gathering requirements from business (30% of time), analysing of requirements(40% of time), writing technical specification (30% of time) for integration between DWH and 3PP systems, writing technical specification for DWH layer, analysing and finding bugs in DWH layers Setting and accepting tasks to/from developers, testers and administrators, providing results to business customers What you need for this 2+ years of commercial project development experience as an ETL System Analyst and an Oracle PL/SQL developer Experience working with any ETL tool is a must (PWC Informatica is highly recommended and is a plus) Strong data analytical skills Excellent SQL knowledge Understanding of RDBMS principles Methodology: Agile / Scrum and Kanban Knowledge of Atlassian Suite (JIRA, Confluence) Practical experience of handling big production volumes of data (200TB+) Nice to have: Experience working with any BI Tools (PowerBI, Report Builder is highly recommended and is a plus) Knowledge and practical experience with Python, HTTP, Telnet, JSON, HTML, XML, REST, SOAP, XSLT, JavaScript Practical experience with NoSQL/Cassandra DB, MariaDB, AWS, BigQuery, understanding of non-relational DBs Understanding of Telecom billing or provisioning systems architecture What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Atlassian DataAnalyst ETL SQL

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. As Director, US Operations, you will lead operations for Payward’s US equities business: our registered broker-dealer, Kraken Securities LLC, and the operations behind traditional stocks as well as xStocks, our tokenized equities product. You will own the trade operating model, the end-to-end order and settlement flow, cash flows, corporate actions, reconciliations, and regulatory readiness across the business. This is a hands-on leadership role in a regulated entity. You will be a registered principal of Kraken Securities LLC, named on Form BD, and accountable for the operational side of the firm’s regulatory obligations. It extends well beyond day-to-day management and requires genuine fluency in both traditional market plumbing and the operational realities of a digital-asset business. You will stay close to company strategy and cross-functional initiatives so the global executive team’s goals translate into clear operating priorities. As a trusted partner, you will work across Compliance, Legal, Finance, Product, Engineering, and Marketing to drive key initiatives forward, and build the team that scales the business as the firm grows. The opportunity - Own the end-to-end order flow for US equities, from inception through clearing and settlement, including reconciliation, corporate actions, and exception management - Own xStocks operations: token issuance and redemption, inventory and liquidity management, movement of client and firm assets, and settlement across exchange, custodian, and on-chain venues - Serve as a named principal of Kraken Securities LLC and act as an operational control point — including dual-approval (“four eyes”) sign-off on transactions and asset movements, with coverage across time zones - Design and implement the operating model for Kraken Securities and xStocks, aligned to strategic goals - Build and run the operating systems for the business — policies, written supervisory procedures, controls, books and records, business continuity, and KPIs — and translate C-suite goals into clear targets for each business unit - Own launch readiness for new products and markets: prepare systems, policies and procedures, and test them end to end with our clearing firm, custodians, exchange partners and R&D teams to ensure compliance with US regulations - Partner with Finance on financial controls around bank payments, customer funds and reserve requirements - Ensure desk coverage and settlement/ reconciliation controls and man power in place to support 24X5 and transitioning to 24x7 - Own vendor and partner operations — clearing, custody, market data, liquidity providers and technology vendors — including onboarding, SLAs and ongoing oversight - Own severity-1 operational escalation and incident response for the US entities, including root-cause review and remediation - Set performance targets, monitor progress, and report KPIs and costs transparently to leadership - Hire and develop a high-performing operations team, build the licensing bench and succession plan, and build the organizational structure to scale - Partner with functional leaders across Marketing, Compliance, Product, Engineering, and Operations to keep initiatives aligned and moving - Contribute to strategy and growth planning to help build a sustainable business - Support functions such as HR and IT in building procedures that link to corporate strategy What you bring - 12+ years of experience in brokerage or fintech operations, and/or at an operations consulting firm, including time inside a FINRA-registered broker-dealer - Experience in crypto, brokerage, advisory, fintech, or another highly regulated industry - In-depth knowledge of traditional financial markets — execution, clearing, settlement, custody, margin, securities lending, and corporate actions - Working understanding of digital assets and tokenized securities, including custody models, on-chain settlement, and the operational controls they demand - Direct experience operating under SEC and FINRA rules — books and records, supervisory procedures, trade reporting, and examination response - Experience standing up or scaling operations for a new regulated product or entity, including launch readiness and regulatory approval processes - A proven record of defining structured approaches to solve complex challenges - End-to-end understanding of company value drivers and a strong working understanding of business analytics - Experience hiring, managing, and developing operations teams - Exceptional judgment and the executive presence to work comfortably with C-suite leaders, regulators, and external partners - Required at hire, or within an agreed window from start date: FINRA Series 7 (General Securities Representative), Series 99 (Operations Professional) and Series 24 (General Securities Principal) - Preferred: Series 27 or 28 (Financial and Operations Principal) - Also valued: Series 57 (Securities Trader) and Series 4 (options principal), or willingness to obtain them — these strengthen our principal coverage across trading and options - Must be eligible for registration and disclosure on Form BD, and comfortable carrying named-principal responsibility in a regulated entity - Series 63 / 65 / 66 as required by state registration     Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Research Scientist, Discovery (Engineering & Applied Sciences) About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. About the role On the Discovery team at Anthropic, we're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback. Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities You may be a good fit if you have: Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Strong candidates may also have: Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

- Understand and map the existing Rust-based Agave validator implementation. - Translate and implement validator components in Zig with high code quality.

You’ll carry a full patient panel, managing perimenopause, menopause, weight, sexual health, mood, and sleep — all virtually.

- Разработка и поддержка микросервисов на Go для масштабных проектов.

Location: Riverside, United States Partner One is a long-term investment group specializing in the acquisition and growth of successful software companies. With over 30 years in business, we own and operate some of the fastest-growing enterprise software companies globally. More than 2,000 of the world’s largest corporations and governments rely on our software for their most critical operations and to safeguard their most valuable data. We are looking for a Network Infrastructure Engineer to join our team based at our Riverside Data Centre, California – this DC hosts infrastructure and equipment supporting multiple companies across our portfolio.  This is a hands-on, technical role, ideal for someone looking to build their experience across IT support, hardware, networking, and data centre operations. You’ll work alongside our existing Data Centre Engineer and wider IT teams, helping with day-to-day requests and providing on-site support when physical access to equipment is required. We’re not looking for someone who knows everything already; our goal is to identify someone practical, reliable and keen to learn, who is comfortable working with IT hardware and following technical instructions Responsibilities: Install, rack and cable servers, switches and other network equipment Assist with basic installation and decommissioning of Data Centre hardware Provide ‘Smart Hands’ support for our wider IT teams and portfolio companies Carry out tasks such as power cycling equipment, checking connections, reseating cables and replacing basic components Supporting our existing Data Centre Engineer when additional resource is needed Troubleshoot basic network connectivity issues, including checking cabling, ports, connections and device status Escalate more complex infrastructure or networking issues to the appropriate engineer or technical team Assist with laptop and end-user device management Receive returned equipment and ensure assets are correctly recorded and stored; wipe and securely prepare laptops and other devices for re-use or disposal; configure and prepare devices to be shipped to new or existing users Assist with IT asset and inventory management, including tracking equipment entering and leaving the Data Centre Follow documented processes and maintain accurate records of work completed, and assist with other hands-on IT and Data Centre tasks as required Requirements Minimum of 3 years of experience in on-premises IT environments. Understanding and experience with computer hardware and networking Confidence working with laptops, desktops and other IT equipment A basic understanding of network concepts such as IP addresses, switches, network ports and Ethernet connectivity An interest in learning more about servers, networking and Data Centre infrastructure The ability to follow technical instructions and documented processes carefully Good organization, attention to detail and problem-solving skills A willingness to ask questions and escalate when something is outside your knowledge or experience. Good communication skills and a helpful, service-focused attitude with the ability to work collaboratively with engineers and IT teams who may be based remotely Preferred Requirements Experience in any of the following would be useful, but is not essential: Data Center experience/exposure. Working in an IT Help Desk, Service Desk or desktop support environment Installing or replacing computer hardware Basic network troubleshooting Server or network rack installation and cabling Laptop imaging, configuration or device management IT asset management Microsoft Windows and Microsoft 365 Working with a ticketing system such as Jira CompTIA A+, Network+ or similar entry-level IT certifications Benefits This role offers an opportunity to gain hands-on experience across a broad range of technologies and environments. You’ll work with infrastructure supporting multiple companies, giving you exposure to Data Centre operations, networking, servers, end-user computing and IT support. For someone at the beginning of their IT career, it’s a great opportunity to develop practical skills while working alongside more experienced engineers and gradually taking on greater technical responsibility. Compensation The estimated compensation range for this role is $40,000 - $60,000/ year Gross USD. Actual compensation will be based on local market benchmarks and relevant experience. This recruitment process may use automated or artificial intelligence to screen or assess applicants This job posting is for an existing vacancy.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning. We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience. Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes. CONTRACT: Contractor LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries EDUCATION: Master's or PhD required. ENGLISH: C1 or higher. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains. Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods. Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility. Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations. Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity. Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives. Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning. Document findings, methodologies, and scientific best practices. Communicate technical findings clearly to researchers, engineers, and other project collaborators. Requirements Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline. Substantial hands-on research or professional experience in a relevant chemistry specialization. Experimental chemistry candidates must demonstrate practical wet-lab experience. Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience. PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply. Deep expertise in at least one of the listed chemistry disciplines. Professional written and spoken English proficiency at C1 level or higher. Proficiency in Python and/or relevant scientific software. Excellent quantitative, analytical, and scientific reasoning skills.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: India; Australia; Japan; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

Location: Thailand; Indonesia; Malaysia; Singapore; Vietnam; Philippines About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking experienced Biology, Bioinformatics, and Computational Biology Specialists to contribute to a specialized AI training and evaluation project focused on advanced biological research and scientific reasoning. We particularly welcome candidates with a Master's degree or PhD in a relevant scientific discipline. PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles are especially encouraged to apply. Candidates should have deep expertise in at least one relevant biological specialization and practical experience analyzing real biological datasets. Both research-focused and industry-oriented professionals are welcome. CONTRACT: Contractor LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and broader APAC. EDUCATION: Master's or PhD preferred; equivalent relevant experience considered. ENGLISH: C1 minimum. PROJECT: AI training and benchmarking in biology and bioinformatics. AI EXPERIENCE: Not required. Key Responsibilities Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives. Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines. Assess and optimize computational pipeline parameters, software configurations, and statistical methods. Analyze biological datasets, including: Next-Generation Sequencing (NGS) data. RNA sequencing and single-cell datasets. Genomic variants and variant calling results. Protein structures and proteomics data. Molecular and cellular biology datasets. Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility. Identify analytical errors, methodological limitations, and opportunities for improving computational workflows. Contribute domain expertise to the development and validation of biology-related AI models and tools. Document findings, methodologies, and best practices to support knowledge transfer. Communicate complex scientific concepts clearly to technical and non-technical collaborators. Requirements Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline. Equivalent professional industry or research experience may also be considered. Deep expertise in at least one relevant biological or computational specialization. Hands-on experience analyzing real biological datasets. PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged. Proficiency in Python and/or R. Experience with relevant scientific tools, depending on specialization. Professional written and spoken English proficiency at C1 level or higher. Strong statistical, quantitative, and analytical reasoning skills.

- Build evaluation frameworks for AI agents, including datasets, sandbox environments and metrics for real-world tasks. - Hands-on experience building, evaluating or improving LLM models or agents (professional, research, open-source or personal projects).

- Design, implement, and optimize AccountsDB storage paths: account file layout, account index, and caching layers. - 3+ years architecting data stores, file systems, databases, or high-throughput storage systems;

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM: The Professional Services team is the bridge between LangChain's technology and the enterprise customers building on top of it. We partner with some of the world's most ambitious companies to help them move from pilot to production — designing solutions, accelerating time-to-value, and ensuring teams get the most out of LangChain, LangGraph, and LangSmith. We work at the intersection of deep technical expertise and customer partnership, and we take pride in the outcomes our customers achieve. As LangChain grows, PS plays a direct role in shaping how enterprise AI gets built in the real world. ABOUT THE ROLE: We're looking for an Engagement Manager to join our Professional Services team. You'll manage multiple concurrent technical engagements, ensuring successful delivery of Professional Services projects for enterprise customers. You'll be the primary point of contact for customers and coordinate cross-functional teams to deliver exceptional outcomes. This role offers direct impact on customer success, the opportunity to shape processes and methodologies, and the chance to work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. Location: This role can be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way) may be eligible for hybrid arrangements depending on location and role requirements. Open to remote candidates within the US. WHAT YOU'LL DO: - Engagement Lifecycle Management: Manage the full engagement lifecycle from SOW review through closeout, including planning, execution, risk management, scope management, and handoff - Customer Communication & Relationship Management: Serve as the primary point of contact for customers — deliver status updates, manage expectations, handle escalations, and negotiate scope changes - Multi-Engagement Management: Manage 5–8 concurrent technical engagements simultaneously while maintaining quality and meeting deadlines - Cross-Functional Coordination: Coordinate with Solution Architects, AI Engineers, Sales, Support, Enablement, and Product/Engineering teams; manage resource allocation and capacity planning - Risk & Issue Management: Proactively identify risks and issues, develop mitigation strategies, track resolution, and ensure deliverables meet quality standards WHAT YOU'LL BRING: - You have 5+ years of engagement or project management experience, preferably with technical or software engagements - You've managed multiple concurrent engagements and know how to keep quality high across all of them - You have strong experience working with enterprise customers and leading customer-facing communication - You've coordinated cross-functional technical teams — engineers, architects, product — and managed resource allocation - You're experienced with project management tools such as Linear, Jira, Asana, or similar - You've handled scope change management and complex stakeholder dynamics - You have start-up DNA: you thrive in fast-paced, ambiguous environments and don't wait to be told what to do - You're a natural communicator — clear, direct, and effective with both technical teams and executive stakeholders You exemplify our operating principles - You are motivated to build something great: you hold a high bar for quality, craft, and impact - You embrace hot takes: you share informed opinions, challenge the status quo, and engage in constructive debate - You operate with maximum agency: you take ownership, move work forward independently, and help others unblock - You run to the roar: you lean into hard problems, ambiguity, and fast-moving challenges NICE TO HAVE: - PMP or similar project management certification - Experience in Professional Services or consulting - Experience with AI/ML or infrastructure engagements - Experience with time tracking and billing coordination - Knowledge of software development lifecycle and agile methodologies COMPENSATION $150,000-$190,000 base salary + equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

We’re looking for US-based, actively practicing physicians (MD/DO) to evaluate clinical EHR vignettes for a medical AI evaluation program. Score the clinical reasoning quality of benchmark items: vignette accuracy and completeness, whether the vignette gives the answer away, answer correctness and gradeability, and trap quality;

Location: South Africa, Western Cape, South Africa About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Technical Recruiter Location: Cape Town, South Africa Experience Level: 7+ years of technical recruiting experience Work Arrangement: Remote, with working hours aligned to 9:00 AM to 5:00 PM U.S. Eastern Time Why Join Turing? Exceptional talent builds exceptional teams, and exceptional teams shape what Turing can achieve. As a Technical Recruiter, you will own searches from intake through successful start. You will source, assess, engage, and close exceptional talent while partnering closely with hiring managers and candidates throughout the process. Although the role is grounded in technical recruiting, you will support both technical and nontechnical hiring as business priorities evolve. You will also use AI, automation, data, and recruiting technology to improve quality, speed, and effectiveness. As a Technical Recruiter, You Will Own Full-Cycle Recruiting Independently manage assigned requisitions and candidates from intake through successful start. Build qualified pipelines through targeted research, talent mapping, personalized outreach, referrals, and professional networks. Maintain accountability for hiring outcomes, candidate progression, and timely requisition updates. Recruit Across Functions and Geographies Recruit for technical and nontechnical roles across multiple functions and geographic markets. Recruit senior technical roles across London, New York, Seattle, and other international markets. Build local market knowledge and adapt sourcing strategies to different talent pools. Partner With Hiring Managers Define role requirements, calibrate candidate profiles, establish sourcing strategies, and align on evaluation criteria. Provide informed recommendations on candidate qualifications, talent availability, compensation expectations, and hiring strategy. Build trusted relationships with hiring managers and serve as a thoughtful advisor throughout the search. Assess, Engage, and Close Candidates Evaluate candidate qualifications, experience, and role alignment using sound judgment and consistent standards. Coordinate structured interviews, timely feedback, and hiring decisions while proactively resolving obstacles. Develop closing strategies based on candidate motivations, competing opportunities, compensation expectations, and potential concerns. Improve Recruiting Operations Use approved AI, automation, and recruiting technologies while maintaining human judgment and candidate confidentiality. Identify improvements that reduce administrative work, accelerate candidate progression, and improve recruiting outcomes. Maintain accurate, complete, and timely requisition and candidate data in Greenhouse and other relevant systems. The Opportunity Own the outcome: You will be accountable for your searches from intake through successful start, not simply for completing individual recruiting tasks. Build trusted partnerships: You will work directly with hiring managers and candidates and influence hiring decisions through strong judgment and clear communication. Recruit across markets: You will identify and engage senior technical talent across North America, Europe, and other global markets. Raise the operating standard: You will help improve how Turing recruits through disciplined execution, better use of technology, and continuous process improvement. Our Technical Recruiters Typically Have Full-cycle recruiting experience: Seven or more years of experience independently sourcing, assessing, engaging, and closing candidates across the full recruiting lifecycle. Senior technical recruiting experience: A track record of recruiting senior technical roles, including software engineering, AI, data, infrastructure, or related disciplines. Global recruiting experience: Experience recruiting for roles in geographies outside your own, including North America and Europe. Market familiarity: Familiarity recruiting senior technical talent in markets such as London, New York, and Seattle. Talent intelligence: The ability to apply market insights to strengthen sourcing strategies, candidate assessments, compensation discussions, and hiring decisions. Candidate and stakeholder judgment: Strong communication, relationship-building, organization, and judgment across candidates, hiring managers, and cross-functional partners. AI-enabled execution: The ability to use approved AI tools, automation, data, and recruiting systems to improve recruiting quality, speed, and effectiveness. Candidates whose experience is limited to recruiting coordination, interview scheduling, or transactional sourcing without full-cycle ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience recruiting senior technical talent in competitive markets such as London, New York, and Seattle. Experience recruiting across multiple international markets and adapting strategies to local talent pools. A track record of building passive candidate pipelines and closing candidates in competitive talent markets. Experience using AI, automation, recruiting analytics, or other technology to improve recruiting execution. Strong experience partnering with senior technical leaders on role definition, candidate calibration, and hiring strategy. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .