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Location: Remote (Poland) Come join Karat's Interview Engineer Community! Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting. This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website , and require that resumes be submitted in English. What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will: Interview— Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. Evaluate— Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. Partner— Collaborate with Karat to test content, processes, and products. The experience you will bring: 3+ years of experience as a Software Developer or Engineer Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills Reliable access to a working webcam, microphone, and a stable Internet connection Experience conducting technical interviews is preferred (e.g., data structures, algorithms) While we review your application, learn more about life as an Interview Engineer by watching this video! Additional Information By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here .

Location: Remote (Greece) Come join Karat's Interview Engineer Community! Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting. This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website , and require that resumes be submitted in English. What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will: Interview— Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. Evaluate— Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. Partner— Collaborate with Karat to test content, processes, and products. The experience you will bring: 3+ years of experience as a Software Developer or Engineer Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills Reliable access to a working webcam, microphone, and a stable Internet connection Experience conducting technical interviews is preferred (e.g., data structures, algorithms) While we review your application, learn more about life as an Interview Engineer by watching this video! Additional Information By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here .

Location: Paris; Amsterdam; Singapore; London; Lausanne Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints. This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others. Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply. WHAT YOU WILL DO - Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”. - Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment. - Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility. - Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions. - Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale) - Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …) - Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements. ABOUT YOU - Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership). - Hands‑on experience with PyTorch, JAX, or similar. - Strong systems and infrastructure fundamentals. - Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines. - Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures). - Clear communication with technical and non‑technical stakeholders. - High agency, low ego, and comfort in fast‑moving, under‑specified environments. NICE TO HAVE - Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). - Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). - Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines. - Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation. - Open‑source contributions, publications, or widely used internal tooling. - Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets. - Ability to identify bottlenecks across the stack and drive improvements from first principles. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Hong Kong & Sydney Location: Hong Kong and Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges. Our culture of innovation drives our ambition to deliver high-quality returns for our investors. Your future role at QRT We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment. This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm. The focus extends beyond delivering individual features. You will identify opportunities to create scalable, reusable capabilities that improve how trading systems are developed, deployed, monitored and operated across multiple teams and trading desks. Working closely with both technical and business stakeholders, you will gain a detailed understanding of trading workflows and translate complex requirements into reliable, maintainable and well-designed software. What you’ll do Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform. Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams. Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows. Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure. Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate. Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow. Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems. Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity. Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities. Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments. Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value. Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement. Your present skillset You will likely have: At least five years of experience developing and supporting production-grade software. Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++. Experience designing maintainable, testable and scalable applications and services. A strong understanding of software design principles, data structures, algorithms and engineering fundamentals. Experience building RESTful APIs, distributed systems or event-driven architectures. A good working knowledge of Linux environments. Experience working with relational databases such as PostgreSQL or MySQL. Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines. Experience with public cloud technologies, preferably AWS. An understanding of messaging technologies such as Kafka or RabbitMQ. Experience considering reliability, observability, performance and failure recovery when designing production systems. Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs. The ability to work effectively with both technical and non-technical stakeholders. Experience in one or more of the following areas would be advantageous: Apache Airflow or a comparable workflow-orchestration platform. React, Vue, Angular or another modern front-end framework. Deployment automation, developer platforms or operational tooling. Market data, order management systems, execution management systems or electronic trading platforms. Financial markets or another complex, time-sensitive production environment. You do not need to have worked in financial services. We are interested in engineers who are curious, technically strong and motivated to understand how technology supports a global trading business. Your way of working You will thrive in this role if you: Enjoy designing systems as well as implementing them. Think about scalability, reliability and maintainability from the outset. Look for opportunities to automate repetitive work and improve engineering processes. Take ownership and remain accountable for the quality of your software in production. Work collaboratively and seek to understand the needs of the people using the systems you build. Approach technical decisions pragmatically and can balance competing business and engineering priorities. Are intellectually curious and enjoy learning about unfamiliar technologies and business domains. Maintain high standards while remaining open to feedback and different perspectives. Why join QRT? Technology sits at the heart of QRT. You will work alongside talented traders, quantitative researchers and engineers, building software that directly supports our global trading activities. The role offers exposure to a broad range of engineering challenges, from cloud-native services and distributed systems to trading applications, deployment platforms and operational tooling. You will have the autonomy to shape solutions, contribute to architectural direction and see your work used every day by teams across the firm. If you enjoy building scalable systems and creating software that makes engineers, traders and operational teams more effective, you will have the opportunity to make a meaningful impact at QRT.

Location: Remote (United Arab Emirates) Come join Karat's Interview Engineer Community! Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting. This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website , and require that resumes be submitted in English. What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will: Interview— Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. Evaluate— Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. Partner— Collaborate with Karat to test content, processes, and products. The experience you will bring: 3+ years of experience as a Software Developer or Engineer Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills Reliable access to a working webcam, microphone, and a stable Internet connection Experience conducting technical interviews is preferred (e.g., data structures, algorithms) While we review your application, learn more about life as an Interview Engineer by watching this video! Additional Information By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here .

Location: Ottawa; 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! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements. Location: Ottawa required Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate government procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior government officials and departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government deployments: privacy compliance, Algorithmic Impact Assessments, Treasury Board submissions, security authorizations - Drive alignment between product development priorities and specific government requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customization, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers (public sector, defence contractors). - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government organizations procure, evaluate, and deploy technology - Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain Canadian government security clearance (Top Secret preferred) Nice to Have: - Active Canadian government security clearance (Secret or Top Secret) - strong preference for active Top Secret clearance - Bilingual (English/French) proficiency - Background in or strong familiarity with Canadian defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role requires eligibility for Canadian government security clearance. Strong preference will be given to candidates who currently hold an active Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers. However, we will also consider exceptional candidates who: - Currently hold Secret clearance and are eligible for TS upgrade - Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process - Have a previous government security clearance that has lapsed Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway. What Makes This Role Unique This isn't typical program management—it's a highly specialized role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organizations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. 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. 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 (Indonesia) Come join Karat's Interview Engineer Community! Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting. This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website , and require that resumes be submitted in English. What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will: Interview— Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. Evaluate— Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. Partner— Collaborate with Karat to test content, processes, and products. The experience you will bring: 3+ years of experience as a Software Developer or Engineer Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills Reliable access to a working webcam, microphone, and a stable Internet connection Experience conducting technical interviews is preferred (e.g., data structures, algorithms) While we review your application, learn more about life as an Interview Engineer by watching this video! Additional Information By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here .

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. This role will be a member of the Trading Execution team, building and enhancing key components for QRT. This role will work with many aspects of electronic/ algorithmic trading and data management systems. The successful candidate will have a Computer Science degree or equivalent, and possess in depth knowledge and experience of developing in C++. A strong background in Linux / C++ low latency optimizations is a must. A background in Linux kernel, FPGA, and Network card offloading will also be advantageous. Your future role within QRT The successful applicant will be a key member of the development team building and enhancing low latency trading systems for QRT The role will cover design, development, validation, deployment, and production support of QRT's trading system constellation of market data handlers, trading gateways, trading platforms, and other systems surrounding it Your present skillset 3-10 years of experience in low latency Linux development using C/C++, STL, Boost Experience designing and implementing multithreaded and distributed systems Experience in front-office trading desk-aligned role is an advantage Good knowledge of distributed network architecture Good knowledge of Equities and Futures asset classes highly desirable Familiar with C++ optimization techniques Familiar with Linux / GCC development toolchain Knowledge of market data feed handlers and execution gateways highly desirable Good team player QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: EMEA Reports to: Regional Head of Compliance, EMEA (with matrix reporting to the OEM Board and Global Compliance) Regulator: Malta Financial Services Authority (MFSA) About the Team The compliance function at OKX is responsible for the overall compliance culture at the company. We are a team of risk-minded problem solvers who advise the business on the company's AML and regulatory obligations and enterprise risks. OKX Europe Markets Limited is our MFSA-authorised investment services entity. Its licence covers the operation of a multilateral trading facility alongside our MiFID derivatives business. Operating a trading venue puts a distinct set of obligations on the firm: venue rulebook governance, member admission, market surveillance, transparency and reporting, systems resilience and orderly trading controls. This role owns compliance for that venue. What You Will Be Doing As Head of Compliance for the MTF, you will hold the MiFID compliance function for the trading venue and act as the MFSA-approved person for that role. The MLRO function sits separately; you will work alongside the OEM MLRO on financial crime matters that touch venue activity. You will: Own the MTF compliance framework end to end: policies, procedures, controls, registers and the compliance monitoring programme covering MiFID II, MiFIR, MAR and the MFSA Investment Services Rules applicable to MTF operators. Act as the primary compliance point of contact for the MFSA on venue matters: authorisation variations, notifications, thematic reviews, RFIs, inspections and remediation. Own the venue rulebook. Keep it current, ensure it is enforceable, and run the governance process for changes. Oversee member and participant admission: eligibility criteria, non-discriminatory access, direct electronic access arrangements, sponsored access controls, and ongoing monitoring of members' compliance with the rules of the venue. Oversee admission to trading of financial instruments, including the compliance assessment of new instruments, product classes and tokenised or DLT-based instruments where relevant. Provide compliance oversight of orderly trading requirements: systems capacity and resilience, testing of members' algorithms, circuit breakers, order-to-trade ratios, tick sizes, market making schemes and clock synchronisation. Provide compliance oversight of pre- and post-trade transparency, waivers and deferrals, transaction reporting, reference data and the accuracy and completeness controls behind them. Advise the business on the interaction between the MTF and OKX's wider European footprint: the MiFID derivatives business, MiCA-authorised activity in OKX Europe Ltd, and the DLT Pilot Regime where a DLT MTF is in scope. Deliver the annual compliance risk assessment, the compliance monitoring plan and the compliance report to senior management and the Board. Build, lead and develop the MTF compliance team, and set the compliance training curriculum for venue-facing staff, trading operations and technology. Give day-to-day advice to product, engineering, trading operations, legal and market operations in a fast-moving regulatory environment, including sign-off on venue changes, launches and marketing where required. Oversee compliance aspects of outsourcing, critical third parties and operational resilience, including DORA obligations relevant to the venue. Prepare Board, committee and matrix stakeholder reporting, and represent OKX with the MFSA, ESMA consultations, industry bodies and peer venue forums. What We Look For in You 10 years plus in regulatory compliance within financial services, market infrastructure, fintech or crypto, including time at a senior or head-of-function level. Direct experience of trading venue compliance: MTF, OTF, regulated market, SI or an equivalent execution venue. This is the core requirement. Working knowledge of MiFID II and MiFIR as they apply to venue operators: Articles 18–20 and 31 (MTF operating requirements and rule monitoring), Articles 48–50 (orderly trading), MiFIR transparency and transaction reporting, and the associated RTS. Practical experience of market abuse surveillance and MAR obligations for a venue operator, including STOR decision-making. Experience developing and owning a compliance framework that has stood up to regulatory examination, and a track record of engaging supervisors directly. Experience preparing and defending compliance reporting to a board or regulator. Familiarity with MFSA Investment Services Rules and Malta's regulatory environment, or a demonstrable ability to get there quickly from another EEA jurisdiction. Strong project management skills and the ability to run several regulatory workstreams to deadline. Comfortable working independently and in a dispersed, cross-border team across multiple varied tasks. Highly ethical, intuitive, and willing to question and challenge at every level of the business. Strong written and verbal communication, with the ability to explain venue regulation to engineers and commercial teams. Eligible for MFSA approval as the holder of the compliance function. Bachelor's degree or equivalent practical experience. Nice to Haves Prior experience in the crypto industry, particularly tokenised instruments, crypto derivatives or a MiCA-authorised trading platform. Experience with the DLT Pilot Regime or another distributed ledger market infrastructure. Experience of a trading venue authorisation or a licence variation to add MTF operation. Familiarity with surveillance platforms (Nasdaq Trade Surveillance, Eventus, Scila, Steeleye or similar) and with transaction reporting tooling. International Compliance Association, ACAMS, CISI or equivalent compliance certification. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for a developer with 3+ years of experience in a quant trading environment to work directly with traders and quant researchers. Your future role within QRT Key member to the success of high-frequency and low latency crypto trading Enrich and implement alpha and trading algorithms Implement specific market rules for the main crypto markets Collaborate with the traders and quant researchers on providing efficient research platform and tools Your present skillset Computer Science degree or equivalent Strong C++ 20/23 development experience on a Linux environment Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions Familiar with HPC in Cloud environment, good level of Python Good communication skills in a dynamic and international environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Canada Workplace: hybrid Join the Lyra Health Canada network and play a vital role in our mission to transform access to life-changing mental health care. As a Lyra Affiliate, you’ll be part of a value-driven community committed to evidence-based practice and culturally competent support. We offer a collaborative environment where our Case Managers act as your allies, providing extra support for complex cases so you can focus on helping clients build resilience and achieve their goals. Grow your practice with the backing of a global leader while maintaining the integrity and confidentiality of your detailed clinical notes. Requirements We require a minimum Master’s from a relevant clinical mental health degree and licensed to practice therapy in your jurisdiction. 3 to 5 years post graduate experience providing structured counselling/psychotherapy. Current full registration status with relevant college or association for your location(s) of practice (i.e., able to work independently, without supervision from a licensed supervisor) without current, past, or pending disciplinary action. Experience and commitment to providing evidence-based treatments (e.g., ACT, CBT, CPT, DBT) and clinical best practices (e.g., measurement based care, promoting skills practice). Willingness to work in collaboration and compliance working with Lyra’s protocols and service level standards. Ability to work with adults ; preference given to providers who also work with children, couples and families. A secure virtual platform to provide virtual counselling. A physical office space with ability to see clients in person is a benefit, but not required. Experience managing risk and responding to clinical crises, as needed. Proficient in providing counselling in multiple languages an asset. Some of the advantages to joining the Lyra provider network: Connect with highly compatible clients thanks to Lyra’s powerful matching algorithm technology. Set your own schedule, without a minimum hours requirement. Let Lyra clients easily book appointments with the Lyra Calendar feature, which seamlessly integrates with your calendar. Have peace of mind with Lyra’s 24/7 Care Navigation team for crisis support. Upskill your knowledgebase with access to Lyra’s large collection of free and relevant CE credited courses approved by APA, ASWB, and NBCC. Stay in the know with robust Help Center resources just for Lyra providers. I confirm that I have read and understood how my personal data will be used as part of the affiliate application process. Lyra International will process the personal data which I provide, including my contact details, qualifications, and supporting documents, to assess my suitability for an affiliate role. This is done on the basis of legitimate interests and/or the need to take steps prior to entering into a contract.   My data may be shared with affiliated companies, including Lyra Health, Inc. in the United States, and service providers. Where such transfers of personal data occur outside the UK,EEA or Switzerland, Lyra International uses safeguards such as the EU Standard Contractual Clauses, along with additional measures to protect my data and comply with relevant data protection laws.   My information will be kept confidential, stored securely, and accessed only by authorised personnel, including recruitment, Network Operations, and clinical governance staff. I understand that I have rights under UK and EU data protection laws, including the right to access, rectify or erase my data, restrict or object to its processing, and to lodge a complaint with a supervisory authority. Similar legal rights may be applicable in other jurisdictions depending on your location.   For more information, please see our Privacy Policy.   "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this contract position, your data will be processed as per Lyra Clinical Associates, P.C. Workforce Privacy Notice.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery 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: $405,000 — $625,000 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.

Location: Budapest, Vienna XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights. It's our vision to empower patients to make better decisions. But we cannot do it alone: we need leaders, doers, and innovative minds to turn our vision into reality. That is why we are looking for an ambitious, highly committed, and entrepreneurial team player who shares our values of putting patients first, building an inspiring and open environment and challenging the status quo. The Role Join our team as a Senior Data Engineer and architect our company's new data backbone from the ground up. Your expertise in clinical ontologies and data modeling will turn messy, large-scale healthcare data into a unified, high-performing knowledge graph. You will work directly with medical experts, product teams and data scientists to translate complex clinical domain logic into clean, interconnected data structures & models that bring real value to patients and practicing doctors. Your Responsibilities Find creative uses of different database types and data pipelines to ensure patient data we collect and medical knowledge we produce stay consistent & interoperable. Develop and integrate parts of our clinical inference engine relying both on rule-based and statistical models. Design and extend clinical data models using domain ontologies (e.g., SNOMED-CT, FHIR, UMLS) to turn healthcare data into rich, queryable graph structures. Translate research insights into scalable, production-grade software efficiently in an agile and close-knit team. Work closely with medical experts to capture clinical workflows and validate ontology mappings. Shape the technical direction, schema design, and engineering best practices across the engineering team. Your Profile MSc or PhD in computer science, mathematics, or related field. +4 years of proven industry experience in working with medical data or in data engineering (or appropriate academic research). Strong knowledge of graph databases, query languages, search algorithms and/or inference systems (e.g. Neo4j, Memgraph, Cypher, SQL, Datalog). Extensive experience in software development with Python and/or TypeScript – being comfortable with switching languages/frameworks. Resident in the EU with a valid work permit. Nice to have Familiarity with concepts of statistics, formal logics and/or machine learning. Experience with EHRs and clinical data exchange formats (e.g. FHIR). Deep interest in the area of Knowledge Representation and Reasoning (KRR). Experience with independently managing cloud environments (ie. GCP) and CI/CD pipelines. Your Benefits Join one of Europe's leading healthtech scale-ups and make a real impact in a purpose-driven environment. Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged. Benefit from a dedicated training budget and professional development time, because we believe in growing together and supporting your skill-building journey. Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin. Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure. Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged Work where you are most productive – remotely from home or from one of our offices in Vienna, Budapest, and Berlin. Connect with your team through company-wide celebrations and optional local gatherings, always packed with great food and zero pressure. Be part of a vibrant, open culture with flat hierarchies and direct communication, where your voice matters and everyone’s ideas are heard. Plus, office dogs! Bring your four-legged friend to work or hang out with the resident dogs to break up the day. Salary & Compensation Our salary ranges are determined by role, level, and location. The minimum starting salary for this position is: Budapest: 1,900,000 HUF gross / month Vienna:  3,954 EUR gross / month (pursuant to the IT collective agreement ) Willingness to overpay is given and depends on the respective qualification and experience. On top of that, we also let all our employees participate in our Virtual Stock Option Plans (VSOPs), ensuring that they can directly benefit from our collective success. At XUND, we know that innovation happens when different perspectives come together. Whether you’re a coding whiz, a health enthusiast, a spreadsheet guru, or a creative problem-solver, we value what you bring to the team. If you’re excited about this role but feel like you don’t “check all the boxes,” don’t worry – we still want to hear from you! We’re committed to fostering an inclusive space where everyone’s contributions are valued and respected, and we encourage candidates of all backgrounds, identities, and experiences to apply. If you’re eager to make an impact, we’d love to hear from you!

Location: Tbilisi, Georgia Workplace: remote Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally. We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys. If this excites you more than it scares you, you are in the right place. The Role We're looking for a seasoned Senior ML CV engineer to drive the technical direction of AI Mosaic - our production computer vision product that automatically applies accurate, form-fitting mosaic to video, replacing manual frame-by-frame masking with same-day automated output. AI Mosaic already runs in production and has processed titles for major Japanese distribution platforms. You'll own more than implementation - you'll improve the pipeline, spot where it can go further, and drive the changes that push the product forward. What You Will Do Deploy and continuously improve production ML pipelines for AI Mosaic Research and improve Computer Vision algorithms for automated content censoring and precise mosaic generation Improve algorithms for high-resolution video matting, segmentation, and form-fitting masking Develop spatiotemporal ROI extraction and tracking algorithms to ensure accurate and consistent masking across video frames Develop video understanding, relevant region detection, and motion recognition algorithms where they can improve masking quality Improve model accuracy, processing speed, stability, and scalability for high-resolution videos and batch workloads Proactively identify technical and product improvement opportunities and drive them from initial hypothesis to production Work closely with product and engineering teams to translate user feedback and business needs into practical ML solutions Tech Stack Must Have: PyTorch, PyTorch-Lightning, MLFlow, Experiment Tracking Highly Required: Camera Intrinsics Nice to Have: Inference Optimization: TensorRT, ONNX Runtime, Triton Inference Server Video CV: Spatiotemporal Tracking & Continuity Domain Knowledge: VR, 3D-geometry Stack (ML): Python, C++, Unity, PyTorch, PyTorch-Lightning, MLflow, DVC, OpenCV, AirFlow, Qdrant, Redis, MongoDB, RabbitMQ, MMLib, Feast Stack (Company): PHP, C#, Unity, Go, Unity, WebGL, K8s What We Are Looking For Proven experience developing and deploying Computer Vision models in production, with the ability to independently own complex ML solutions Strong programming skills in Python and solid knowledge of data structures and algorithms Ability to build extendable, reproducible, and maintainable ML pipelines Strong product mindset, with the ability to connect technical and model improvements to user needs and measurable product impact Proactive approach and ability to identify and initiate technical and product improvements BSc in Computer Science, Mathematics, or a related field Bonus Points Nice to have experience in anything mentioned in the Technical Stack section: C++ and etc. Experience deploying in edge (mobile, VR headset) devices Experience in shader creation (glsl, hlsl, etc.) MSc in CS, Math or related Hiring Process HR screening (30 min) Team Interview with Engineering Lead (30 min or 1 hour) Tech Interview (1 hour) CEO Interview (30 min) 💼 Explore our hiring process What We Offer Please note, that this is a fully remote contract role. B2B cooperation only – you will work with us as an independent contractor operating through your own legal business entity (e.g., sole proprietorship, limited company, or equivalent). The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products. Responsibilities Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging. Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features. Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems Develop and maintain high-quality, scalable, and efficient code. Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems) Requirements BA/BSc/MSc in Computer Science, Engineering or a related field. 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing. Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity Passion for building generic and robust software architecture Passion for elegant and effective technological solutions, and a love for clean code Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc. Strong ability to lead end-to-end development processes Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Pakistan; Philippines; India; Egypt; Morocco About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a high-caliber Senior AI/ML & Optimization Engineer to join the core team at Loop Optimizations. This is not a project-based role; it is a mission-critical position focused on building and refining an autonomous AI marketing platform that continuously creates, tests, and improves full-funnel marketing assets. You will be responsible for the "brain" of our system, ensuring our algorithms make smarter decisions, drive higher revenue for customers, and operate with maximum efficiency. If you are passionate about building self-improving systems that bridge the gap between complex data and real-world business outcomes, we want to hear from you. Key Responsibilities Architect and refine optimization algorithms that drive autonomous marketing decisions Analyze experiment performance and A/B test results to iterate on system logic Evaluate and integrate cutting-edge AI models to enhance creative generation and predictive capabilities Develop and improve multi-touch attribution models to ensure accurate revenue reporting Scale the platform to support new advertising channels and complex customer journeys Optimize system performance and reduce inference costs without sacrificing output quality Incorporate customer feedback and behavioral data to improve the platform's autonomous reasoning Monitor and improve the overall reliability and speed of the optimization loops Requirements Develop and refine autonomous optimization algorithms that manage ads, websites, and email marketing sequences Analyze experiment performance and A/B test results to drive continuous system improvement Evaluate and integrate the latest AI models and creative generation tools to maintain a competitive edge Improve multi-touch attribution models and autonomous decision-making logic Expand the platform’s reach by introducing and optimizing new advertising channels Focus on system performance by reducing inference costs and latency Incorporate direct customer feedback into the development of new optimization methodologies Monitor long-term system health to ensure the platform remains a robust, continuously improving engine Nice-to-Haves Experience in the SaaS or AdTech industries. Advanced proficiency in A/B testing frameworks and experimental design. Familiarity with Slack for team communication and workflow integration. Strong English communication skills Benefits 💰 Competitive base salary 🌎 Fully remote work environment (Offshore) 🚀 Opportunity to build a category-defining autonomous platform 📈 Long-term stability as an integral, ongoing teammate 🕒 Flexible working hours with consistent core overlap 🛠️ Work with the latest AI/ML models and technologies