Location: Malta
We are seeking an experienced
Trading Operations Specialist
to assist the company in executing trading strategies and ensuring the effective risk management of trading activities. This role involves overseeing pre-trade, live, and post-trade monitoring, stress testing algorithms, implementing kill functionality, monitoring market abuse, and raising red flags to senior management and compliance as necessary
What You’ll Be Doing:
Have access to and oversee the implementation of the kill switch to manage and mitigate trading risks promptly
Lead a first-line team responsible for owning and managing trading risks, including stress testing algorithms and monitoring trade executions
Review and approve new algorithms, parameters, and risk limits before they go live
Monitor trades in real-time and review open positions to make informed decisions and adjustments as needed
Raise red flags to the CEO, compliance team, and relevant stakeholders for immediate action and resolution
Liaise with regulators on compliance matters where necessary
Collaborate with the trading desk to ensure smooth and efficient trading operations while adhering to risk management protocols
What We Look For In You:
Bachelor's degree in Finance, Economics, Mathematics, or a related field
5+ years of proven experience in trading operations, risk management, and market surveillance within the financial industry
Strong understanding of trading strategies, algorithms, risk metrics, and market dynamics
Excellent analytical skills and the ability to assess and manage trading risks in real-time
Proficiency in using trading platforms, automated monitoring tools, and risk management software
Effective communication and decision-making skills to lead and collaborate
Why Should You Join Our Team?
Join an international team of highly qualified professionals
Cutting-edge hardware and technology
Onsite work at our Malta office (relocation to Malta is required)
40 paid days off
Competitive salary
Onsite work at our Malta office (relocation to Malta is required)
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
We’re looking for a Staff Software Engineer (all genders) with focus on fullstack engineering to play a key role in enhancing and actively contribute to the development of new features for our remote access, control and support solutions using modern technologies. The position will report to a Team Lead Software Development and provides an excellent opportunity to create impact and add value in an agile, modern environment.
As part of an Agile team, you’ll work as an individual contributor, primarily with C# .NET, TypeScript/JavaScript and React. Your work will power both containerized services running on Azure Kubernetes and web applications hosted on IIS in on-prem environments. You will also guide junior members of the team in best practices in software development & Secure SDLC.
Define the architecture, design and develop new features for our software in .NET C#
Continuously integrate, build and deploy our solution from test system to production
Design and implement common APIs based on architecture guidelines and frameworks
Design and build common database systems of high availability and quality
Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies
Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications
Ensure that our software is secure, stable, scalable and runs efficiently
Monitor the latest technical developments in your field and make proposals for improvement
Guide and assist other team members in engineering topics relevant for the team
Coach & mentor junior members in the team
Act as an advisor for product owners (feasibility studies and time estimates for new functionality to be implemented)
Communicate with customers to analyze & fix product defects, or during major implementations
Requirements
A university degree in the field of information technology, computer science and engineering or a related subject
10+ years of professional experience in the field of software development
Solid knowledge of .NET (C#), JavaScript/TypeScript, React and SQL is mandatory
Must have hands on experience in Docker & Kubernetes ecosystem and should be able to work on them locally in docker desktop.
Must have experience in any of the unit test casing framework
Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations with applications and user interfaces
Solid knowledge of Secure SDLC principles, OWASP Top-10 vulnerabilities & remediation, and Threat Modeling
Experience in quick feasibility studies, POC & prototyping to arrive at firm estimates
Experience in build v/s buy evaluations and total cost of ownership of software systems
Understanding of Clean Code and Design Patterns for object-orientated programming
A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things
Experience in any of the following is desirable: parallel programming (multi-threading), test automation, network communications, digital certificates/PKI
Knowledge in C++ is a plus
Familiarity with AI tools for coding (like Co-pilot) is a plus
Familiarity with concepts of end-user computing and software asset management is a plus
Fluency in English is mandatory, further languages are a plus
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
Location: APAC - Remote; Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Job responsibilities
Red-blue confrontation drill
Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems.
Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery.
Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages.
Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines.
Attack Surface Analysis and Threat Research
Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations.
Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises.
Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets.
Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows.
AI Security and Large Model Attack and Defense
Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain, and model services within the enterprise.
Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc.
Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary.
Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction.
Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities.
Tool and platform development
Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation.
Research and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios.
Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities.
Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling.
Security evaluation and reporting
Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations.
Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations.
Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities.
Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms.
XFN collaboration
Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building.
Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training.
Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline.
Job requirements
Basic skills
Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices.
Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc.
Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use.
Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments.
Offensive and defensive technical capabilities
Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning.
Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system.
Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks.
Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction.
AI security capabilities
Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, plugin systems, etc.
Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc.
Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks.
Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing.
Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation.
Experience requirements
More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises.
Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred.
Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred.
Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective.
Other capabilities
Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc.
Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans.
Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance.
Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally.
Bonus points
Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc.
Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security.
Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction.
Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework.
Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction.
Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community.
Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Hybrid (San Francisco, CA); Hybrid (New York, NY)
Workplace: Hybrid
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
THE ROLE
Clipboard https://www.clipboardworks.com/ is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, facilitating over 3 million shifts per year. We're hiring Senior Product Managers to own core domains of the marketplace. Think pricing, matching, reliability, facility onboarding; all the systems the business runs on!
THE WORK
You'll be running a domain where the right answer changes as the marketplace changes, and where your mental model and prioritization are the single most valuable artifact your team has. You will:
- Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data.
- Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated.
- Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound.
All of this gets written down and shared constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet." You'll work alongside an Applied Science https://jobs.ashbyhq.com/clipboard?departmentId=b0a8f86a-7e03-4cd1-a204-deafbabf7893 team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.
MINIMUM REQUIREMENTS
- 6+ years of product management, with experience in marketplaces preferred
- You can query data yourself (SQL or equivalent)
- You've shipped meaningful features on a small, fast-moving team
- You write clearly and often
- Ability to work 2-3 days per week out of either our NYC or San Francisco office
WHO THRIVES HERE
- Extreme ownership: the buck stops with you regardless of what anyone else did or didn't do.
- Extreme curiosity: you ask "why" five times on the same problem before you're satisfied.
- You hold a clear point of view and update it visibly when the data disagrees.
- Background in marketplace product, ops research, or operating roles at fast-scaling startups is a strong signal.
INTERVIEW PROCESS:
1. Case Study via MeritFirst
2. Case Study Interview
3. Cross-functional Interview
4. CPO Interview
5. Offer!
OUR VALUES LIVE HERE https://www.clipboardworks.com/resources/blog/clipboard-healths-company-values. IF THIS SOUNDS LIKE A TEAM YOU WANT TO BE ON, APPLY!
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: Colombia; Brazil; Argentina; Mexico; Chile; Costa Rica
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a strategic and results-driven Senior Media Buyer to spearhead high-scale paid acquisition efforts. In this role, you will be responsible for managing substantial advertising budgets, optimizing complex campaigns, and driving measurable growth. This is a high-impact position designed for a seasoned expert who thrives on data-driven decision-making and remains at the forefront of the ever-evolving digital landscape.
Key Responsibilities
Develop, execute, and manage full-funnel media buying strategies across primary digital platforms.
Monitor daily performance metrics to ensure KPIs are met and exceeded.
Conduct rigorous A/B testing on creative assets, landing pages, and audience segments.
Analyze large datasets to extract actionable insights and refine targeting parameters.
Collaborate with creative teams to provide data-backed feedback on high-converting ad content.
Manage budget allocations and scaling strategies to maximize ROI and efficiency.
Stay ahead of platform updates, industry trends, and emerging technologies to maintain a competitive edge.
Requirements
4+ years of professional experience in digital media buying and paid acquisition.
Proven track record of managing significant monthly ad spends (e.g., $100k+) across platforms like Meta, Google, or TikTok.
Deep technical proficiency with platform algorithms, tracking implementation, and attribution modeling.
Exceptional analytical skills with the ability to turn raw data into strategic growth plans.
High level of autonomy and the ability to thrive in a fast-paced, performance-oriented environment.
Strong communication skills to articulate performance results and strategic shifts.
Experience with multi-channel attribution software and advanced analytics tools.
Background in direct-to-consumer (DTC) or e-commerce scaling.
Creative strategy experience or basic proficiency in ad design principles.
Benefits
🌎 Fully remote work environment
🚀 Career growth opportunities
📈 Long-term stability
🎯 Performance-based incentives🛠️ Access to top-tier marketing tools and resources
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
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 leadership role within Aidoc’s core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the team’s technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the team’s work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members’ growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.
Requirements
BSc or MSc in Computer Science, Engineering, or a related field.
At least 7 years of hands-on experience building complex software systems.
At least 3 years of experience as a team leader, actively contributing to design and code development.
Experience designing and building core software systems that are an integral part of algorithmic and AI-driven solutions.
Deep understanding of computer science fundamentals, including object-oriented design, performance optimization, and system complexity.
Strong ability to lead end-to-end development processes while remaining technically involved.
Strong communication and collaboration skills, with the ability to work effectively across teams.
A strong sense of ownership and accountability, leading by example and driving execution.
A collaborative leader who listens, values others’ input, and motivates team members.
Strong commitment to clean code, sound architecture, and high engineering standards.
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: 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
Building AI that delivers value in the real world takes more than an algorithm. It requires mastering the data layers the algorithms are trained and evaluated on, including the clinical nuances they carry. We are among the few companies paving the way for methodologies and architectural patterns that don't yet exist in this field.
That's the work of the AI Data Development Group, part of Aidoc's AI organization and the data analytics core of our algorithm development process. Our data development achievements sit at the heart of improvements in our AI accuracy and scalability.
Within the group, the Data-Dev analyst team is involved at every stage, from early data exploration to confirming an algorithm is ready to scale. We analyze data to inform algorithm design decisions, define the clinical ground truth and metrics behind the algorithms, and assess performance and robustness. Our analyses shape which approaches move forward, in close partnership with algorithm developers, product teams, clinical experts, and operational stakeholders.
Responsibilities
Own dataset development initiatives, building training and evaluation datasets grounded in clinical ground truth.
Translate product and algorithmic questions into defined metrics and data-driven recommendations.
Evaluate algorithm performance and robustness, and assess readiness to scale.
Drive exploratory analyses that inform algorithm design and development decisions, as well as product ideation, grounded in a deep understanding of clinical workflows and model behavior.
Partner with algorithm developers, product, clinical experts, and operational stakeholders to enable data-informed decisions across the algorithm lifecycle.
Bring state-of-the-art AI capabilities to the team, raising the standardization, efficiency, and quality of our deliverables.
Requirements
5+ years of hands-on data analysis or research experience at a SaaS or technology company.
Extensive experience analyzing complex, large-scale datasets with Python and SQL, alongside a proactive, technical approach to applying AI tools and LLMs in analysis and research workflows.
Proven ability to turn open-ended product, algorithmic, and stakeholder questions into structured analyses, metrics, and recommendations, moving fluidly between deep research and hands-on execution.
Strong ownership and self-management, with a track record of leading projects from problem definition through execution, and prioritizing multiple projects independently.
Excellent communication skills and experience working with stakeholders across Product, R&D, and clinical teams.
B.Sc. in Engineering or Exact Sciences; M.Sc. or Ph.D. is a major advantage.
Familiarity with machine learning algorithms and AI development is a major advantage; experience with medical or clinical data is a plus.
Passion for healthcare and for the potential of AI to improve clinical outcomes.
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: Vancouver, BC
We are looking for a Software Engineer to join our Product team in Vancouver, where we build features end-to-end, from designing our data models to implementing the subtle interaction behaviours that differentiate good software from great software. In this role, you will be an integral part of the entire product development process from conception to post-launch reflection, manifesting continuous improvements to help us achieve our mission of enabling all teams to work together effortlessly. Partnering closely with Product Managers, Product Designers and supported by our infrastructure team, you will aim to delight users with both large new features and daily product enhancements through our continuous deployment architecture. Because this is an organization-wide search across our product teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. If you care deeply about building products that improve how millions of teams work together, we would love to hear from you.
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Work in a high-performance, dynamic team with a strong focus on velocity and software quality.
Contribute to building a complex SaaS application that is a market leader in its segment.
Gain exposure to Asana’s core infrastructure, particularly how data is represented, stored, and deleted in the storage layer.
Work with asynchronous jobs and implement algorithms that efficiently traverse the Asana Work Graph.
Partner with legal to implement data ownership rules, requiring simple and effective technical solutions to make this process easy and clear to customers.
Drive large, impactful projects, delivering features that will be rolled out and used in large organizations.
Support and collaborate with other teams and stakeholders that work in the team’s space.
About you
3+ years of experience working within large, well-maintained codebases.
Excellent communication skills for collaborating with cross-functional partners (e.g., Product Management, Design).
Sound judgment when balancing development velocity with producing high-quality, maintainable code.
Passionate about creating a superlative user experience and highly attentive to details.
Appreciate productivity and care deeply about helping teams—including your own—collaborate more effectively and efficiently.
Excited to be a part of an inclusive culture where everyone brings the aspects of themselves to the workplace that they need to thrive.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $146,000 - $162,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-HC1
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
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Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Arcadia's data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce.
This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.
What Success Looks Like
In 3 months
Independently triage and resolve pipeline data quality issues
Author at least one new DBT model or refactor an existing one to meet current modeling standards
Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer
In 6 months
What You'll Be Doing
DATA MODELING & DBT DEVELOPMENT
Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP
Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings
CROSS-FUNCTIONAL QUALITY COLLABORATION
Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis
Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring
Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores
Contribute to and enforce data modeling standards across teams
TECHNOLOGIES
Data modeling: DBT-Spark, SQL, Claude
Warehousing: Amazon Redshift, Apache Hudi, AWS Athena
Data quality: volume/DQ monitors, DBT tests
Orchestration: Argo Workflows, Airflow
Source control: Git / GitHub, PR-based review workflows
Observability: Grafana, Jira
Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI
What You'll Bring
Education:
Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field
Experience:
Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Skills:
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency
Would Love For You To Have
Experience with Spark SQL and Hudi table format
Familiarity with data quality monitoring tools
Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows
Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics
Python scripting for data investigation and automation
Experience with Argo Workflows or similar orchestration platforms
Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI
What You'll Get
Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data
Flexible, fully remote work environment with the resources and support to do your best work
Exposure to senior leaders
Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment
Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions
Be a part of a mission driven company that is transforming the healthcare industry
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: New York, NY
Who We Are:
Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.
The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia.
Additional information about Galaxy's businesses and products is available on
www.galaxy.com
.
What We Value:
We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
Seek Excellence.
Be Selective To Be Effective.
Be Highly Aligned, Loosely Coupled.
Disagree Transparently.
Encourage Independent Decision-Making.
Build Dream Teams.
Who You Are:
We are looking for a talented Quantitative Trader to join our Onchain Trading team. This is a technically deep, high-ownership role at the intersection of algorithmic strategy, decentralized finance, and protocol-level market structure. You will contribute across the full trading lifecycle — from building risk infrastructure and designing strategies to managing protocol relationships and structuring liquidity agreements.
What You’ll Do:
Risk & Allocation
Build and maintain risk monitoring systems and capital allocation algorithms for our onchain curator program
Contribute to quantitative frameworks for position sizing, exposure management, and drawdown controls across DeFi protocols
Support real-time portfolio risk tracking across chains and venues
Strategy Design & Execution
Design and operate bespoke trading strategies across DeFi protocols, including AMMs, lending markets, perpetuals, and structured products
Identify and exploit structural inefficiencies in on-chain markets, liquidity pools, and token incentive mechanisms
Iterate on live strategies based on on-chain data, protocol changes, and market microstructure developments
Monitor deployed strategies and manage operational incidents across multiple blockchains
Liquidity Agreements
Assist in the design and negotiation of custom liquidity provision agreements with protocols, DAOs, and ecosystem funds
Support structuring of incentive arrangements, token agreements, and liquidity mining programs
Track performance against agreed terms and contribute to counterparty reporting
AI Implementation
Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
2–5 years of experience in quantitative trading, systematic strategy research, or algorithmic development
Solid Python programming skills, with experience building data pipelines, backtests, or trading tools. Keen interest in exploring and working with new technologies
Deep contract-level knowledge of DeFi protocol mechanics — AMMs (Uniswap, Curve, Orca), lending markets (Aave, Morpho), and other protocols
Understanding of blockchain infrastructure and on-chain data
Degree in a quantitative field – Computer Science, Computer Engineering, Applied Mathematics, Physics, etc.
What We Offer:
Competitive base salary and discretionary bonus
Hybrid/Flexible Working Arrangements
Flexible Time Off (paid)
3% 401(k) company contribution
Company-paid health and protective benefits for employees, partners, and other dependents
Generous paid Parental Leave
Competitive family planning benefits for US employees
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Free daily snacks and weekly breakfasts/lunches
Employee Resource Groups
Free coaching and counseling sessions through Headspace
Apply now and join us as we grow the economy that runs on code.
The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.
Base Salary Range
$150,000
—
$200,000 USD
Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.
We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact
careers@galaxy.com.
Location: Quebec
Workplace: onsite
(Version française ci-dessous)
Graphics Programmer
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 a Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
To maintain and extend our proprietary engine on its VFX related part (particle simulation, materials, post-process effects, rendering/lighting pipeline).
Work closely together with Art/VFX department, to implement visual effects of topnotch quality and extending our library of existing VFX components.
Debug and optimize code to hit quality and performance targets
Document code features.
Requirements
Thorough knowledge of C++.
Strong technical background (bachelor’s degree or comparable experience).
Passion for making and playing great games.
Experience with modern graphics APIs like DirectX 12, Vulkan, Metal.
Experience with a wide range of CPU and GPU profiling tools.
Experience with particle system algorithms, including GPU particle implementations.
Excellent knowledge of shading languages and experience with writing complex GPU algorithms using shading languages
.Multi threading should be second nature.
Excellent software design and problem-solving skills.
Excellent software debugging skills.
You are a team player and willing to take responsibility.
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity.
Fluent in English, both spoken and written*
Nice to haves:
C# experience
Shipped game/console titles strong plus
What we offer:
An international team of over 600 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
* Due to the global nature of our operations and the need to engage daily with an international team, fluency in English is essential for this position at Larian.
------------------------------------------
Programmeur de graphismes
Maintes fois primé, Larian Studios a amplement démontré sa volonté de proposer des jeux de rôle de très haute qualité. À l’heure où le studio à l’origine de titres comme Baldur’s Gate 3 et Divinity: Original Sin 2 se tourne vers de nouveaux projets, nous sommes en quête d’un programmeur de graphismes qui rejoindra l’équipe et nous aidera à créer les jeux d’excellence auxquels nos fans sont habitués.
Responsabilités
Maintenir et développer notre moteur propriétaire du côté des effets visuels (simulation de particules, matériaux, effets de post-traitement, processus de rendu/d’éclairage)
Travailler en étroite collaboration avec le département responsable des graphismes et des effets visuels afin de mettre en œuvre des effets visuels de grande qualité et d’agrandir notre bibliothèque de composants d’effets visuels existants
Déboguer et optimiser le code pour atteindre nos objectifs en termes de qualité et de performance
Documenter les fonctionnalités du code
Profil recherché
Connaissance approfondie de C++
Solides connaissances techniques (baccalauréat ou expérience similaire)
Passion de faire, et de jouer à, des jeux exceptionnels
Une expérience avec des API graphiques modernes comme DirectX 12, Vulkan ou Metal
Une expérience avec un large éventail d’outils de profilage d’unité centrale et de processeur graphique
Une expérience avec les algorithmes de systèmes de particules, y compris l’implémentation de particules GPU
Excellentes connaissances des langages d’ombrage et expérience dans l’écriture d’algorithmes GPU complexes à l’aide de langages d’ombrage
Le multithread devrait être un réflexe
Excellentes compétences de conception logicielle et de résolution de problème
Excellentes compétences de débogage logiciel
Passion du travail en équipe et volonté d’assumer ses responsabilités
Ceci est un poste à temps plein dans nos locaux. Votre présence au bureau est requise pour favoriser un esprit de collaboration et de créativité.
Maîtrise courante de l’anglais, à l’écrit comme à l’oral*
Éléments appréciés
Une expérience en C#
Gros avantage : avoir lancé plusieurs jeux/titres sur console
Ce que nous proposons
Une équipe internationale de plus de 600 employés répartis dans 7 studios à travers le monde, chacun avec ses propres qualités uniques, le tout en conservant une ambiance conviviale de petite entreprise
Un environnement de travail ouvert et collaboratif, où les idées nouvelles sont encouragées et bienvenues
Une équipe de gestion composée de développeurs expérimentés et au sommet de leur art
Des collègues ayant les mêmes valeurs, avec lesquels partager vos passions et vos passe-temps
Un environnement inclusif avec de nombreuses activités organisées par les studios ou les employés
Un engagement à réaliser le meilleur jeu possible pour les fans, en prenant en compte les commentaires de la communauté
* En raison de la portée mondiale de nos opérations et de la nécessité d'interagir quotidiennement avec une équipe internationale, des connaissances professionnelles en anglais sont indispensables pour ce poste chez Larian.
Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios.
Responsibilities
Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint.
Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms.
Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions.
Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems.
Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch.
Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms.
A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios.
Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required.
Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency.
Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters.
Deep understanding of the math and structure behind Diffusion Models and Vision Transformers
Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in multi-modal reinforcement learning to advance next-generation intelligent systems. Your work will focus on optimizing decision-making and adaptive behavior across integrated data modalities such as text, images and audio to deliver enhanced intelligence, robust performance, and domain-specific capabilities for real-world challenges. You will develop and scale reinforcement learning techniques within complex multi-modal architectures, including diffusion-based generative models and autoregressive models for multimodal understanding, as well as resource-efficient models designed for constrained hardware environments. This includes conducting research on reinforcement learning algorithms for multimodal models, spanning diffusion models for image autoregressive models for multimodal reasoning, and unified multimodal frameworks.
You are expected to have deep expertise in designing multi-modal reinforcement learning systems and a strong background in advanced model architectures, with a hands-on, research-driven approach to building and deploying novel algorithms and training frameworks. You will design and develop RL infrastructure and reward modeling strategies to enable efficient large-scale training, improve training stability, and mitigate reward hacking and related failure modes. Your responsibilities also include curating multi-modal simulation environments and training datasets, improving baseline policy performance across modalities, and identifying and resolving bottlenecks in multi-modal learning and reward optimization. In addition, you will explore next-generation reinforcement learning paradigms that more directly and effectively learn from environment feedback, with the goal of unlocking superior, domain-adapted AI performance in dynamic, real-world environments.
Responsibilities
Conduct research on reinforcement learning algorithms for multimodal models, including diffusion-based approaches for image autoregressive models for multimodal understanding, and unified frameworks that integrate multiple modalities.
Design and build reinforcement learning infrastructure that supports scalable, distributed training across multimodal systems while maintaining efficiency and reliability.
Develop and refine reward modeling strategies that improve training stability, align model behavior with desired outcomes, and mitigate reward hacking and related failure modes.
Create and curate multimodal simulation environments and datasets to support robust training, evaluation, and benchmarking of reinforcement learning systems.
Design and conduct rigorous benchmarking and evaluation protocols to measure model performance, track progress against baselines, and validate improvements across multimodal tasks.
Analyze and optimize policy performance across modalities by identifying bottlenecks in training, credit assignment, and cross-modal alignment.
Investigate and develop next-generation reinforcement learning paradigms that more effectively learn from environment feedback, with the goal of achieving superior state-of-the-art (SOTA) performance.
Publish research findings in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
A Master's degree in Computer Science or a related field is required; a PhD in Machine Learning, NLP, Computer Vision, or a closely related discipline is preferred, along with a strong track record of AI research and publications in top-tier conferences.
Proven experience running large-scale reinforcement learning experiments in multimodal and vision-centric systems, including online RL settings, with demonstrated impact on domain-specific decision-making and measurable improvements in policy performance.
Deep understanding of reinforcement learning algorithms and optimization methods applied to vision and multimodal learning problems, with a focus on improving policy stability, exploration, and sample efficiency in complex, high-dimensional environments involving images, video, and other modalities.
Strong proficiency in PyTorch and deep learning frameworks for vision and multimodal AI, with hands-on experience building end-to-end RL pipelines covering simulation, training, evaluation, and deployment in production-grade systems.
Demonstrated ability to apply empirical research to solve core RL challenges in multimodal and vision tasks, such as sample inefficiency, exploration-exploitation tradeoffs, and training instability, along with experience designing robust evaluation frameworks and iterating on algorithmic improvements to advance agent performance.
Proven track record of research publications in top-tier conferences such as ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV etc.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones).
You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making.
We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation.
Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve.
Responsibilities
Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.
Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.
Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences.
Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.
Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).
Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.
Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face.
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United States; Canada; France; Dubai, United Arab Emirates
Hex Trust, established in 2018, offers fully regulated institutional digital asset market services, custody, and staking to builders, investors, and service providers. Leveraging the expertise of veteran banking technologists and award-winning financial services leaders, Hex Trust continues to innovate with its proprietary institutional-grade platform, providing secure and integrated solutions. Hex Trust holds licenses and certifications ensuring 24/7 global coverage across Hong Kong, Singapore, Dubai, France, and Italy. This dedication is reflected in our significant growth, with offices in major markets throughout Asia, the Middle East, and Europe.
Position Summary
Hex Trust is currently hiring for a Quantitative Trader who specializes proprietary trading strategies and trading infrastructure. This role requires a professional who can navigate the complexities of the crypto markets, manage trading with precision while also contributing to the firm's trading objectives.
Duties & Responsibilities
Execute client trades, optimizing for best execution while mitigating market impact, and maintaining discretion.
Develop and implement quantitative strategies that align with client trading goals and market opportunities.
Analyze market trends and liquidity to inform both proprietary and client-focused trading decisions.
Continuously assess and manage trading risks in real-time for both the firm and clients.
Create algorithmic trading tools to automate and improve trade execution processes.
Use statistical analysis to improve trading models and provide market insights to clients.
Ensure all trading practices adhere to regulatory standards and internal compliance policies.
Requirements
Bachelor's or master’s degree in a quantitative field with a solid foundation in trading algorithms.
Proven track record in quantitative trading and client execution within crypto or similar financial markets.
Expertise in low-level programming languages (C++, Rust) and familiarity with blockchain technology.
Strong analytical skills with an ability to communicate complex concepts to a diverse audience.
Exceptional risk management and problem-solving abilities.
Benefits
As one of the leading Web3 innovators,
Hex Trust
offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space.
At Hex Trust, we are proud of our
H.E.X.
culture:
Heart
Empowerment
Xcellence
Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also:
Competitive Salaries & Bonuses
Access to Corporate Discounts and exclusive Employer Perks
Medical & Retirement Plans
Professional Learning and Development Opportunities
Elevate your work using cutting-edge technology
Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam
Regular company & social events
Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.
ГибридNoida, India
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