Вакансии

Location: Riyadh, Saudi Arabia Join Müller's Solutions as an AI / Computer Vision Engineer and be part of a dynamic team that is transforming industries through advanced technology. In this role, you will design, develop, and implement computer vision and AI models that address complex challenges and drive innovation in our products and services. Key Responsibilities: Develop and deploy state-of-the-art computer vision algorithms for various applications. Collaborate with product teams to understand requirements and translate them into technical specifications. Analyze large datasets to extract insights and improve model performance. Test and validate AI solutions to ensure high accuracy and reliability. Participate in code reviews and contribute to best practices in software development. Keep abreast of the latest advancements in AI and computer vision and integrate relevant technologies into existing systems. Research and present findings on new methodologies and approaches in the field. Requirements Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Proven experience in AI and computer vision technologies, including deep learning frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with OpenCV. Experience with data handling, preprocessing, and training machine learning models. Solid understanding of algorithms and data structures. Familiarity with cloud computing platforms and tools. Exceptional problem-solving skills and the ability to work in a collaborative environment. Strong communication skills to effectively convey complex ideas to both technical and non-technical stakeholders. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Vaduz, Liechtenstein About Our Client Our client is a global provider of corporate, fund, active wealth, and pension solutions. Headquartered in Jersey, the firm has a presence in over 15 jurisdictions, including Liechtenstein, Switzerland, Singapore, the UK, and the UAE. Backed by professional private equity, the company is committed to long-term strategic investment in talent and infrastructure. Its service offering includes Private Wealth Solutions such as trusts, foundations, and family office support; Corporate Services including company formation, management, and governance; and Funds & Pensions covering fund administration and employee benefits. The firm also brings specialized local expertise in key jurisdictions like Liechtenstein, Switzerland, and Luxembourg. Requirements Key Responsibilities: Manage a portfolio of existing clients, ensuring high levels of satisfaction and retention. Develop and implement strategic plans to achieve company goals and objectives. Provide leadership and guidance to the team, fostering a culture of excellence and collaboration. Ensure compliance with all relevant laws and regulations, including maintaining a valid license Art. 180a for managing a trust company in Liechtenstein. Stay updated on changes in regulatory requirements and ensure the company’s practices are aligned. Identify and pursue new business opportunities to drive growth. Build and maintain strong relationships with key stakeholders, including clients, partners, and regulatory bodies. Oversee the day-to-day operations of the fiduciary services, ensuring efficiency and effectiveness. Implement best practices and continuous improvement initiatives to enhance service delivery. Knowledge and Experience Minimum of 8 years of relevant experience in fiduciary services, trust management, or a related field. Proven track record of managing client portfolios or bringing in new clients. Strong leadership and management skills. Excellent communication and interpersonal skills. Strategic thinking and problem-solving abilities. In-depth knowledge of fiduciary services and regulatory requirements in Liechtenstein. Education: Bachelor’s degree in Business, Finance, Law, or a related field. An advanced degree is preferred. Licenses and Certifications: Must hold a valid license 180a to manage a trust company in Liechtenstein.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! 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 — $850,000 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. 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.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES Core Engineering Responsibilities - Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing - Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques - Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation - Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap - Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler - Collaborate with research teams to productionize theoretical advancements Impact & Collaboration - Contribute to internal and open-source GPU libraries - Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent) REQUIREMENTS - Strong understanding of GPU architecture and programming paradigms: - Memory hierarchy (global, shared, registers, L1/L2 cache) - Thread/block/grid organization - Synchronization techniques and race condition mitigation - Proficient in C++ and GPU performance profiling tools - Knowledge of: - CUDA C++ API - Memory access patterns and bandwidth optimization - Numerical precision and quantization strategies - Modern GPU features (e.g., tensor cores, async operations) NICE TO HAVE - Experience with Transformer models and attention optimization (e.g., Flash Attention) - Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB - Background in GEMM tuning and distributed/multi-GPU compute - Contributions to open-source GPU projects - Research publications or conference presentations on GPU performance BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Poland Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:With our record-setting pace of growth, we are looking for an experienced, collaborative, and successful sales professional for the Enterprise Account Executive role who can make an immediate impact to expand the number of Enterprises using the Creatio platform across Poland.Responsibilities:Manage the entire enterprise sales process and resources to develop and implement winning solution sales strategies across the Poland;Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function;Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling;Deliver against revenue targets and all key performance metrics;Develop and orchestrate sales presentations and product demonstrations;Work with all customer functions, including executive-level personnel, various customer stakeholders, architecture, operations, design, vendor management, innovation, sourcing, and customer procurement.Requirements:At least 4 years of experience in sales roles with a strong record of achieving or exceeding goals;Proven experience in Enterprise SaaS platform sales to large organizations, with a solid understanding of Enterprise or Global account management practices;Skilled in navigating complex enterprise environments, managing long sales cycles, and building trusted relationships with C-level executives and key decision-makers;Demonstrated success in meeting quarterly and annual targets while maintaining a focus on customer success and value creation;Excellent organizational, communication, and interpersonal skills, with the ability to foster strong, long-term business relationships;Strategic mindset with the ability to identify and prioritize high-potential clients and opportunities;Awareness of market and industry trends, and the ability to translate them into meaningful sales strategies;A strong professional network within the region is highly valued;Self-driven, proactive, and passionate about sales, with a collaborative and customer-focused approach;Advanced or higher level of English, written and spoken;Experience with CRM, No/Low-Code, or workflow automation solutions is a plus.What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. What you’ll be doing: Manage the entire enterprise sales process and resources to develop and implement winning solution sales strategies across the CE region; Generate new business opportunities on an assigned territory, manage pipeline, opportunities, forecasting, and other items related to an outside sales function; Focus on new logo acquisition as well as managing relationships with existing accounts to identify opportunities for cross-selling and up-selling; Deliver against revenue targets and all key performance metrics; Develop and orchestrate sales presentations and product demonstrations; Work with all customer functions, including executive-level personnel, various customer stakeholders, architecture, operations, design, vendor management, innovation, sourcing, and customer procurement. Key Qualifications for Success: Minimum 5+ years of experience in quota-carrying sales roles; Experience in Enterprise SaaS platform sales to large enterprises, with a deep understanding of executive-level Enterprise and/or Global account sales methodologies; Experience in navigating complex Enterprise environments, managing long sales cycles and large deals, and building relationships with C-level executives and key decision-makers; Proven track record of meeting quarterly and annual targets; Outstanding organizational, excellent communication and interpersonal skills, and an ability to build and maintain strong, lasting business relationships with clients; Ability to identify and focus on the highest-revenue potential clients; Understand key market and industry trends and dynamics; Strong personal network within the region; Self-motivated, results-driven, energetic, highly enthusiastic, and passionate about sales; Fluent Polish; Upper Intermediate or higher English — both verbal and written; Experience with the CRM, No/Low-Code, workflow automation software space is a plus. What You Should Expect From Us: A leading company in a fast-growing environment with a focus on making our clients successful. Competitive pay, insurance, and paid leave options for life-qualifying events, sickness, etc; A remote-first hybrid model: while giving plenty of space for concentration and personal working habits, we encourage regular meetings in one of our five hubs worldwide. Powerful, mature, and award-winning Low-Code product (a Leader in Gartner Quadrants and Forrester report ); A steady stream of inbound leads (though we expect your team to generate its own leads as well); A developed partnership network in Europe and globally of leading system integrators; A culture of genuine care, ownership, dedication, and high standards (learn more here ); A vibrant corporate life: enjoy the opportunity to explore your teammates' cultures in online and offline events, participate in sports competitions, enjoy art master classes, and create your new favorite memories at our parties; Caring for your health: Creatio offers options for medical insurance. Nice and modern hub in the Warsaw city centre to get acquainted with colleagues or to gain some quiet space for concentration. Join us and be a part of revolutionizing the way businesses operate.

Location: Toronto; San Francisco; London; New York; Paris; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU. Key Responsibilities: - Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance. - Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency. - Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing. - Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models. Qualifications: - Strong software engineering skills, with proficiency in Python and experience building data pipelines. - Familiarity with curriculum learning, data mixing and data attribution. - Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. - Experience working with large-scale datasets, including web data, code data, and multilingual corpora. - Knowledge of data quality assessment techniques and experimentation with data mixtures. - A passion for bridging research and engineering to solve complex data-related challenges in AI model training. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Mandarin Speaking Embedded Linux Field Engineer for Devices/IoT to expand our reach in mission-critical industries such as Automotive, Medical Devices, Industrial Systems, Robotics, and Telco, as well as Consumer Electronics. We are looking for candidates who are accomplished Linux plumbers. If you are someone passionate about Linux, who knows the plumbing of the OS inside and out, who is proficient with distribution packaging, software design, system debugging, and bringing customer's ideas to life, then please keep on reading - this may be a uniquely exciting opportunity for you. The server edition of Ubuntu is already very widely used in connected devices and industrial PC's. Our edition of Ubuntu for IoT, called Ubuntu Core, represents the state of the art in security and resilience for high end appliances and equipment. Our customers include global brands in consumer and industrial electronics as well as automotive and robotics. We continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. We recently added a real-time Linux capability and are working towards a range of certifications for these offerings. Together, this portfolio is Linux reinvented for optimal reliability, security, developer productivity and footprint. This career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins. We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true. Location: This role will be based remotely in the APAC region, except in locations where we have an office, such as Taipei and Beijing What your day will look like Engage customers during presales to gather requirements and explain our technology Elaborate solutions to be proposed to prospective clients Participate to the delivery of select projects related to Embedded Linux Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential Be both a customer advocate and a trusted advisor to Canonical What we are looking for in you The candidate needs to be fluent in Mandarin and willing to travel to China regularly Bachelors degree in Computer Science or related technical field Extensive Linux experience - Debian or Ubuntu preferred Distribution / Packaging experience (deb, rpm, ...) Solid embedded Linux experience (Yocto, Buildroot...) Fluency in at least one of Golang, Python, C, C++, or Rust Professional written and spoken English in addition to the local language Excellent communication and presentation skills Result-oriented, ability to multi-task A personal drive to meet commitments An humble learner and quick study Albeit many projects can be done remotely, the successful candidate will be willing to  travel up to 30% of the time for customer meetings, company events, and conferences Additional skills that you might also bring Experience with customer engagements is a plus What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Cologne, Germany About our client Our client is the largest network of orthodontic clinics with fully digital processes in Europe. They have revolutionized the invisible orthodontics sector with the best team and state-of-the-art technology for diagnosis, treatment and case follow-up. They believe that everyone deserves a smile that makes them happy! Your responsibilities You will be the first sales associate in this location, working independently at first. We’re looking for someone autonomous and self-driven, able to operate confidently without a local team in place. Representing our client by greeting customers, explaining the products and financing options, and walking them through timelines and expectations. Achieving your sales targets to meet conversion goals while providing first class patient care to ensure every customer is delighted with their treatment start date. Meeting or exceeding your monthly KPIs. Handling patient concerns or issues in collaboration with the clinic or head office teams as required. Building genuine relationships with clients to build trust. Responding to calls and emails in a timely and professional manner. Follow up on potential clients and maintain a pipeline for future opportunities. Stay self-motivated with a hunger for success. Requirements At least 3 years' experience in a sales role. Work experience in industries such as automotive, dental, insurance or education is highly valuable. Confident presentation of products and the ability to answering customer questions and concerns. Bilingual English/German language skills. Benefits Be part of an international and multicultural team! A dynamic and collaborative work environment. Discounts on our client's treatments. Positive company culture: they celebrate every success! Our client promote a culture of inclusion and diversity. They celebrate the individual strengths, perspectives and experiences of their employees and encourage all candidates to apply, regardless of race, color, religion, gender identity, sexual orientation, disability or any other factor.

Location: Düsseldorf, Germany About our client Our client is the largest network of orthodontic clinics with fully digital processes in Europe. They have revolutionized the invisible orthodontics sector with the best team and state-of-the-art technology for diagnosis, treatment and case follow-up. They believe that everyone deserves a smile that makes them happy! Your responsibilities Representing our client by greeting customers, explaining the products and financing options, and walking them through timelines and expectations. Achieving your sales targets to meet conversion goals while providing first class patient care to ensure every customer is delighted with their treatment start date. Meeting or exceeding your monthly KPIs. Handling patient concerns or issues in collaboration with the clinic or head office teams as required. Building genuine relationships with clients to build trust. Responding to calls and emails in a timely and professional manner. Follow up on potential clients and maintain a pipeline for future opportunities. Stay self-motivated with a hunger for success. Never settle for less than “Impressive”! Requirements At least 2 years' experience in a sales role. Work experience in industries such as automotive, dental, insurance or education is highly valuable. Confident presentation of products and the ability to answering customer questions and concerns. Bilingual English/German language skills. Benefits Be part of an international and multicultural team! A dynamic and collaborative work environment. Discounts on our client's treatments. Positive company culture: they celebrate every success! Our client promote a culture of inclusion and diversity. They celebrate the individual strengths, perspectives and experiences of their employees and encourage all candidates to apply, regardless of race, color, religion, gender identity, sexual orientation, disability or any other factor.

Location: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! Key Responsibilities: - Design and write high-performant and scalable software for training models. - Consistently post-train the models to reach SOTA level performance. - Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. - Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale. - Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Finland, Helsinki Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Housemarque is looking for a talented Lead Lighting Artist to join our team! THE JOB As the Lead Lighting Artist, you will work closely with the Technical Art Director and help supervise the lighting department, making sure our lighting quality stays consistent with the high visual standards set by the Art Director. You will bring a strong track record of working with real-time video game lighting technologies, pipelines, and tools, combined with excellent communication and people management skills. You will help define best practices, improve lighting pipelines, and ensure the team maintains both artistic quality and technical performance across the project. If you care about lighting, enjoy mentoring others, and love crafting beautiful real-time visuals, we’d love to hear from you! Important : A portfolio with a detailed breakdown showcasing high-end, real-time lighting work is required. Applications missing this will be automatically discarded. What will your day-to-day look like? Work with the Art Director and Technical Art Director to plan and scope lighting needs for each project. Define and maintain best practices and workflows for real-time lighting. Lead and mentor the lighting team, encouraging professional growth and team cohesion. Establish artistic and technical lighting targets for both in-house and external teams. Balance leadership tasks with hands-on content creation (lighting levels, cinematics). Support lighting team members in daily tasks when needed. Review lighting work regularly, offering both technical and artistic feedback to raise overall quality. Ensure consistency in lighting style and quality across the entire project. Collaborate with other departments to ensure lighting assets meet visual, gameplay, and technical needs. Help drive conversations with Graphics Programmers regarding lighting features and improvements. Manage lighting tasks, bugs, and priorities together with Production and QA teams. Troubleshoot and resolve rendering and performance issues related to lighting. Plan, assign, and review the team’s work. Appraise performance, provide feedback, and support career growth. Foster a positive, inclusive, and safe work environment. What will help you to be successful in this role? Shipped at least one PC/Console title as a Lead Lighting Artist. 8+ years of experience in AAA game development (PC and/or console). Expert knowledge of real-time lighting techniques and physically based rendering (PBR). Strong experience with node-based shaders related to lighting. Good understanding of scripting for lighting interactions. Deep understanding of how lighting supports gameplay, storytelling, and mood. Ability to optimize lighting for performance and memory budgets without sacrificing quality. Strong eye for aesthetics, color theory, and composition. Familiarity with version control systems like Perforce. Experience with project management tools like Jira. Fluent written and verbal English skills. A genuine passion for video games. Bonus skills Experience with Unreal Engine or a proprietary AAA engine. Background in cinematic lighting or photography. Experience working with global illumination and ray tracing systems. What we offer to you? Competitive salary, benefits, healthcare, Nordic work-life balance Tailored immigration and relocation package to help you get settled into Finland State-of-the-art studio facilities in the heart of Helsinki Freedom, flexibility and openness in a collaborative culture Brilliant, diverse and empathetic colleagues to work with Exciting and ambitious projects executed with the best tools Access to PlayStation Studios collaboration, games and more! This is a permanent, full-time position based in Helsinki, Finland. We will start interviewing promising candidates immediately so please apply as soon as possible. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Cairo, Egypt Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Client Solutions Manager to support our team in Cairo! What You’ll Do Be the trusted advisor to new and existing clients, leading seamless onboarding and building long-term partnerships. Design high-impact Google Ads strategies tailored to each client’s business goals—search, display, video, and app campaigns included. Continuously optimize campaign performance and ROI using smart insights from GA4, Google Ads, and other measurement tools. Solve problems fast—whether it's technical troubleshooting or strategic fine-tuning, you'll keep campaigns on track. Communicate campaign progress and insights clearly, becoming the go-to person for all client questions and guidance. Ensure Google Ads products and services are delivered smoothly, meeting and exceeding client expectations. Spot opportunities to grow accounts by recommending new Google Ads solutions aligned with client needs. Partner closely with internal teams—sales, tech, support—to deliver a seamless client experience and improve service delivery. Stay sharp on the latest Google Ads features, MENA market trends, and competitive moves to keep your advice fresh and forward-thinking. What You Need For This Role Solid hands-on experience with Google Ads, managing campaigns across search, display, video, and app formats. Strong digital marketing fundamentals with a passion for performance marketing and online strategy. Proficiency in Google Analytics 4 and tools like Google Tag Manager for smart campaign analysis. Excellent communication skills in English. A track record in client-facing roles, where you’ve built trusted relationships and made a real impact. Superb organization skills—you can manage multiple clients and projects without breaking a sweat. Collaborative spirit with the ability to work independently when needed. Familiarity with CRM platforms like Salesforce is a bonus. A deep understanding of the MENA digital advertising landscape. Experience working with media agencies or large brands in e-commerce or performance-driven environments. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Munich, Germany Our client is a global leader in industrial intelligence, industrial automation, and cyber security. For over 30 years, they have served industry leaders in oil and gas, utilities, FMCG, and manufacturing. With over 600 engineers on six continents and offices in more than 12 locations, they bring global expertise to the dynamic German market. Their mission is to revolutionize enterprises with cutting-edge AI and intelligent solutions. They integrate state-of-the-art AI technologies and enterprise solutions to enhance decision-making, optimize processes, and drive digital excellence. Join them in shaping the future of AI and enterprise solutions and be a part of a journey that combines intelligence, technology, and a commitment to excellence. Diversity Statement : “Our client is an equal opportunity employer. They welcome applications from all qualified individuals regardless of gender, age, disability, sexual orientation, race, religion, or belief. They are committed to creating an inclusive environment for all employees.” Position Overview: The Sales Manager will be responsible for driving sales growth across all product & service lines, including AI products, software solutions, and digitalization services. This role requires a strong sales background, excellent communication skills, and a proven track record in selling technology solutions. Key Responsibilities: Develop and implement strategic sales plans to grow the customer base in Germany. Identify and pursue new business opportunities through market research and proactive outreach. Build and maintain strong relationships with key stakeholders, ensuring high levels of customer satisfaction. Prepare and deliver impactful sales presentations and product demonstrations. Lead negotiations to close deals and achieve sales targets. Work closely with marketing, technical, and product development teams to ensure alignment with sales strategies. Gather and analyze market feedback to inform product development and marketing strategies. Requirements Bachelor’s or master’s degree in business, Marketing, Computer Science, Engineering, or a related field. Proven sales experience in AI, software, or technology sectors, within the German market. Strong understanding of the German market, including local business practices and regulatory environment. Demonstrated success in developing and executing sales strategies, with a track record of meeting or exceeding targets. Knowledge of AI technologies, software solutions, digitalization, and cybersecurity. Fluent in German and English, with excellent verbal and written communication abilities. Strong networking skills and the ability to build and maintain long-term client relationships. Proven ability to effectively negotiate and close deals. Ability to work collaboratively with cross-functional and global teams. A willingness to travel as needed to meet with clients or teams or attend industry events. Benefits Competitive salary based on experience. Opportunities for career growth and professional development. Innovative work environment focused on AI and technology. Office presence in Munich. Inclusive and supportive team culture. Regular training and development programs to enhance your skills. Join the company and be part of a team that’s shaping the future of AI in Germany!

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. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $500,000 — $850,000 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. 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.

Location: Warsaw Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Lead Engine Programmer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Lead, mentor and coach our Engine team Assist with recruiting of Engine Programmers Manage code reviews and code features documentation Work in tandem with Larian Studios other programming Leads Assist in maintaining, porting and extending our proprietary engine on multiple platforms Debug and optimize code to hit quality and performance targets Show a strong passion for low level coding and a big interest in performance analysis Complete all tasks in a timely manner and to a consistent high quality standard Develop well designed software within project schedule to team standards Show strong passion for making the highest quality state of the art games Safeguard company assets including source code, art work, tools, technical know-how Requirements Demonstrable Lead or Management experience Extensive experience programming for games Excellent C++ skills Strong mentor and coaching ability Excellent written and spoken English skills Passion for making and playing great games Experience with graphics APIs like Directx 12 and Vulkan Experience with a wide range of CPU and GPU profiling tools Multi threading should be second nature This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity. What We Offer An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback We are looking for highly motivated individuals with ever-evolving skillsets and passion for player experience. If you want to contribute to making amazing RPG experiences, we would love to hear from you.

Location: Paris; San Francisco; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: - Design and write high-performant and scalable software for training.  - Improve our training setup from an infrastructure and codebase performance standpoint. - Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray) - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key Responsibilities: - Design and write high-performant and scalable software for training.  - Understand architectural modifications and design choices and their effects on training throughput and quality. - Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience writing kernels for GPUs using CUDA, triton, etc - Experience using large-scale distributed training strategies. - Familiarity with autoregressive sequence models, such as Transformers. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: Hands-on application and infrastructure security experience, including cloud and containerized environments Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec Clear technical communication with both engineers and leadership Preferred qualifications: 7+ years in application security, security engineering, or security-focused software engineering Already use LLMs as a core part of how you work, with opinions about where they help and where they don't Experience securing agentic, code-execution, or LLM-integrated systems specifically Prior ownership of a bug bounty program, vulnerability disclosure program, or vulnerability-management infrastructure at scale Background building security automation or developer-facing security tooling Offensive security or penetration testing experience Representative projects An increasingly autonomous vulnerability pipeline — LLM-driven code analysis finds the issue, scores it for real exploitability, and opens the fix PR, with humans as the review step rather than the author Bug bounty operations where Claude handles first-line triage and drafting, and engineers focus on the reports that actually need judgment AI-assisted threat modeling that generates intake questions, drafts the model, and recommends which design reviews need a human in the room Automated dependency vulnerability remediation across Anthropic's codebase The company-wide vulnerability dashboard and SLA enforcement layer every engineering team works against Threat models and security architecture for agentic product surfaces — code execution sandboxing, agent identity and delegated auth, tool-use boundaries 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: $320,000 — $485,000 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. 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.