Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Head of Projects
to join our rapidly expanding team.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options.
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development.
Join the Tigers!
What does the role look like?
The Head of Projects will have the opportunity to:
Lead and develop the Project managers team, establishing project governance frameworks, methodologies, and best practices across the organization.
Act as the right-hand person of the COO / CIO and assist with progressing and managing the team’s activities
Oversee the successful delivery of strategic projects and programs, ensuring alignment with business objectives, budgets, timelines, and resource availability.
Drive continuous improvement of project delivery standards, tools, and methodologies, with a strong focus on Agile and hybrid delivery models.
Provide leadership, mentoring, and performance management to Project Managers and cross-functional delivery teams.
Partner with senior leadership to translate strategic objectives into executable project roadmaps and measurable outcomes.
Establish and maintain executive-level reporting, ensuring transparency on project health, risks, dependencies, and resource utilization.
Manage relationships with key stakeholders, executive leadership, and third-party vendors to ensure successful project outcomes.
Foster a culture of accountability, collaboration, innovation, and delivery excellence across the organization.
What do you need to succeed in this role?
Minimum of 8 years’ experience in Project Management, with at least 3 years as a Head of Projects or similar role
Proven track record of managing complex project portfolios and leading cross-functional teams in technology-driven environments.
Experience within FinTech, Financial Services, Gaming or highly regulated industries is considered a strong advantage.
Excellent command of the English language, both written and verbal.
Strong expertise in project governance, portfolio management, resource planning, budgeting, and risk management.
Strong understanding of Software Development Life Cycle (SDLC) and technology project delivery.
Exceptional stakeholder management skills with the ability to influence and communicate effectively at executive and board level.
Experience with project management and collaboration tools such as Jira, Confluence or others
Ability to thrive in a fast-paced, dynamic, and high-growth environment while driving strategic change and operational excellence.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Multiple
events
to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview HR call
Second interview with CIO&COO
Final interview with the team
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis
Location: Prague, Czechia
We are looking for a PMO professional to support a large-scale cross-market transformation program, ensuring strong governance, integrated planning, RAID management, and high-quality reporting across multiple workstreams.
Requirements
5+ years’ experience supporting large, complex programs end-to-end, ideally in a consulting, transformation, or cross-market environment, preferably with a focus on commercial and / or pharma industry experience.
Strong program and PMO skillset including planning, RAID management, reporting, governance, and structured delivery in all types of environments (waterfall, agile or hybrid) mostly with virtual teams.
Hands-on experience with Agile/SAFe delivery environments and business squad -> product -> IT delivery models.
Proficiency in PMO tools & proven ability to collaborate across diverse functions and manage senior stakeholders.
Strong analytical, communication, and problem-solving skills.
Minimum of a bachelor’s degree, preferably in science, engineering, business administration, or economics
Responsibilities:
Scope, design, and structure priority programs, translating business needs into clear plans, deliverables, and outcomes.
Lead and coordinate cross functional and cross market teams to deliver strategic initiatives through robust execution
Define and embed program governance, including leadership forums, workstream reviews, decision making criteria, calendar & agenda setting, pre-read preparation and tracking follow-up actions.
Maintain the Integrated Master Plan, ensuring visibility on milestones, dependencies, release timelines, and rollout activities.
Manage RAID and risk frameworks, drive proactive risk management, issue resolution, and ensure effective dependency management across teams.
Track market readiness and rollout progress including all key checkpoints including testing, data migration, and deployment preparation in collaboration with program leads and change and communication leads.
Provide high quality reporting and insights through dashboards, KPIs, and status updates for leadership.
Candidates must declare criminal record extract not older than three months
Benefits
Broad range of activities, tasks, and projects
Flexible working conditions
Minimum 5 weeks of vacation
Paid sick days
Meal vouchers
Vouchers (B-day voucher, wedding, and new born surprise)
Contributions to wellness programs (multisport card)
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Location: Cork, Ireland
D-ploy is an
IT
and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the
IT
community, we optimize our customer‘s
IT
productivity and contribute to the organization’s success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where
IT
counts, join us!
Tasks and Responsibilities
Maintain the integrity of all computer workstations and associated software within the organization
Act as the main point of contact for employees who are experiencing computer issues
Ongoing maintenance and future planning needs of the company's desktop infrastructure
Monitor the performance of the company's desktop infrastructure and make suggestions for improving efficiency
Evaluate applications and software patches for desktop applications to see if they will solve desktop issues
Resolve software, hardware and device issues reported by the end users
Installation, configuration and ongoing usability of desktop hardware and software
IT support relating to technical issues involving Connect client
Support services for Client standard technologies including basic troubleshooting of Exchange and adds/moves/changes for AD accounts
Work with the project management team on PC builds and network equipment deployments
Troubleshoot PC connectivity issues
Troubleshoot network elements including ISP circuits, firewalls, network switches, wireless equipment and telephone system
Installation of packaged software and authorized 3rd party software
Remote access solution (VPN) implementation and support
Document and update the local client environment
Escalate service issues when required
Communication with customers/end users as required, keeping them informed of incident progress, notifying them of impending changes or agreed outages
Monitor network performance for availability, utilization and latency. Take the appropriate measures to resolve throughput issues, escalating to the support team as required
Oversee the maintenance and tracking of assets
Business Continuity & Disaster Recovery testing
Advise and train staff on computer operations and software applications
New staff on-boarding participation
Requirements
A strong understanding of Information Technology; trends, products and solutions
Experience in a similar position in 1st and 2nd level IT Service Desk/Desktop Support
Customer focused with a passion and drive for customer satisfaction and delivering business values
Friendly, supportive and flexible personality with quick learning ability
Solid problem solving and analytical skills
Ability to work independently as well as willing to follow directions and best practices
Great communication and interpersonal skills
Good team player with planning and organizing skills
ITIL certification is an advantage
Fluent English both written and verbally are strongly required
Successful candidates have to declare Criminal record extract not older than three months
Benefits
Broad range of activities, tasks, and projects
Vouchers (B-day voucher, wedding, and new born surprise)
Fishing for Friends program – our referral program
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Competitive salary and various benefits
Is IT in your DNA?
Location: Poland; Czechia; Spain
Dentons Business Services EMEA
is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration.
At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability.
Job Purpose
The Senior Legal Engineer plays a key role within the Legal Tech Enablement team, designing and implementing legal technology solutions that improve service delivery across Dentons Europe. The role combines technical expertise with legal process knowledge to deliver automation, workflow optimisation, and innovative tools for lawyers and clients. This is an opportunity to play a visible role in shaping how legal services are delivered across a leading international law firm. The successful candidate will work at the intersection of law, technology, and innovation, leading meaningful change, delivering practical solutions, and helping scale legal tech capability across multiple jurisdictions.
Senior Legal Engineers lead legal engineering projects from concept to deployment, collaborate closely with practice groups to understand requirements, and mentor Legal Engineers and Junior Legal Engineers. They act as subject matter experts and contribute to the strategic direction of legal technology initiatives.
Responsibilities include developing automation solutions, implementing legal technology platforms, improving legal workflows, building custom applications and integrations, and managing relationships with selected technology vendors. The role also involves stakeholder engagement, solution design, user training, and ensuring the quality and scalability of deployed systems.
Some positions may also involve specialised responsibilities in eDiscovery and litigation support.
This role offers opportunities to develop leadership capabilities, deepen expertise in legal technologies, and contribute to the firm’s innovation strategy.
Responsibilities:
Lead end-to-end delivery of legal engineering projects (automation, document assembly, data extraction, custom applications).
Analyse legal workflows with practice groups and design technology solutions to optimise processes.
Build and configure solutions using automation and low-code/no-code platforms.
Prepare technical specifications, implementation plans, and documentation.
Test, troubleshoot, and maintain deployed solutions.
Work closely with partners, lawyers, Technology, and Business Development teams to deliver solutions.
Act as the main point of contact for vendors, managing implementations and training.
Present solution designs, run user testing, and support adoption across teams.
Contribute to the legal technology roadmap and evaluate new tools.
Support business cases, ROI analysis, and proof-of-concept initiatives.
Identify opportunities to scale successful solutions across practice areas.
Mentor and guide Legal Engineers and Junior Legal Engineers.
Foster collaboration and knowledge sharing across the team.
Maintain documentation, monitor solution performance, and implement improvements.
Stay up to date with legal tech developments and share insights with the team.
Requirements
Bachelor’s degree in Law, Computer Science, Engineering, Social Sciences, or a related field.
Advanced degree or certifications in legal tech, innovation, or technology (preferred).
4+ years of experience in legal technology, legal engineering, legal operations, software development, or a related field in delivering legal tech solutions from concept to deployment.
Hands-on experience with workflow automation, document automation, or legal applications.
Experience mentoring junior team members or working in client-facing/consulting roles is a plus.
Strong understanding of legal workflows and service delivery. Ability to assess technical feasibility while keeping user experience and business value in focus.
Experience with legal technology platforms (e.g., document automation, workflow tools, legal AI).
Familiarity with process mapping, software development lifecycle, and testing practices.
Strong analytical and problem-solving abilities.
Lead change management efforts to ensure new tools and workflows are embedded successfully across teamsExcellent communication skills, including the ability to explain technical concepts to non-technical stakeholders. Ability to collaborate across multidisciplinary teams and influence stakeholders. Build trusted relationships with partners and senior stakeholders to identify opportunities and drive adoption of legal technology solutions.
Highly organised, proactive, and comfortable working in dynamic environments.
Mentorship mindset with a collaborative, client-focused approach.
Benefits
Remuneration and benefits package will reflect the successful candidates experience and country where hired.
Location: Colombia; Mexico; Philippines; Argentina; Pakistan
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established tech platforms across SaaS, MarTech, FinTech, and EdTech. Unlike traditional agencies, we place you directly into high-impact roles where your work drives real outcomes.
Job type
: Independent contractor
Location
: Remote
Job Summary
We are seeking a high-caliber Technical Recruiter to join a fast-paced team dedicated to scaling world-class engineering and IT organizations. In this role, you won't just fill seats; you will act as a strategic partner to hiring managers, identifying top-tier talent across software engineering, specialized IT infrastructure, and SAP ecosystems. This is a critical position for a recruiter who thrives on the hunt for niche technical talent and understands how to navigate the complexities of the modern tech landscape.
Key Responsibilities
Manage the full lifecycle recruitment process from initial kickoff to offer negotiation and closing.
Build and maintain a robust pipeline of high-quality candidates through advanced sourcing techniques, networking, and headhunting.
Partner closely with hiring managers to understand technical requirements and define specialized candidate profiles.
Conduct rigorous technical screenings to assess both hard skills and cultural alignment.
Act as a brand ambassador, providing an exceptional candidate experience that reflects the high standards of the team.
Stay abreast of market trends and salary benchmarks within the IT, Software Engineering, and SAP sectors.
Requirements
Minimum of 5+ years of experience in technical recruitment (Senior level) or 3+ years (Mid-level).
Proven track record of hiring across diverse technical domains, including Software Engineering (Frontend, Backend, Fullstack), IT Infrastructure, or ERP systems like SAP.
Deep understanding of technical stacks, frameworks, and the nuances of various engineering roles.
Exceptional communication and negotiation skills with the ability to influence stakeholders at all levels.
Proficiency with modern ATS platforms, LinkedIn Recruiter, and unconventional sourcing tools.
Ability to work independently in a high-growth, results-oriented environment.
Nice-to-Haves
Experience working in both agency and in-house environments.
Established network within the SAP or specialist DevOps communities.
Familiarity with data-driven recruiting metrics and reporting.
Benefits
🌍 Fully remote role with flexible working environment
🚀 Work with high-growth international companies across tech sectors
📈 Clear progression path within a performance-driven team
🎯 High ownership and autonomy in your day-to-day work
Location: United States; United Kingdom; Canada
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
About the company
Our client is a results-driven growth partner and consultancy specializing in scaling high-performance firms within the home services and insulation industry. By leveraging a proprietary AI-powered expansion engine, the team transforms business operations through sophisticated paid acquisition, sales process optimization, and automated infrastructure. They go beyond traditional lead generation to focus on high-intent customer acquisition and talent recruitment, helping businesses transition from local operations to dominant market players.
Operating as a fast-growing scale-up, the company is built on a culture of efficiency, transparency, and direct communication. The team is passionate about removing operational friction and creating "packed pipelines" that allow their partners to focus on excellence in delivery. This is an ideal environment for innovative professionals who value measurable impact, high-level strategy, and the opportunity to build scalable systems that drive significant revenue growth in a specialized, recession-proof niche.
Job Summary
We are seeking a high-performance Senior Media Buyer to spearhead growth for a portfolio of rapidly scaling insulation businesses. This is not a "maintenance" role—it is a high-ownership position for a strategic thinker who excels at Meta ads and high-ticket lead generation. You will be responsible for driving qualified applications and booked inspections for clients currently generating $400k–$3M in yearly revenue. This is a client-facing role with a clear career trajectory into management as the agency grows.
Key Responsibilities
Full ownership of Meta ad performance across roughly 10 active client accounts.
Build, test, and iterate on sophisticated lead gen funnels, VSLs, and booked-call systems.
Own the client relationship directly, leading weekly strategy calls and reporting on performance with clarity and confidence.
Monitor budgets, pacing, and delivery to ensure optimal funnel economics and ROI.
Collaborate with the founder to develop high-converting ad creative, hooks, and messaging.
Systematize and document internal processes to facilitate the onboarding of junior support.
Proactively identify and resolve underperformance issues before they are flagged by leadership.
Requirements
Proven track record managing $30k–$100k+ in monthly Meta ad spend across multiple accounts.
Deep experience in the home services, home improvement, or contractor verticals.
Mastery of high-ticket, considered-purchase sales cycles and lead quality optimization.
Experienced in mentoring junior media buyers or reviewing account work.
Strong communication skills with the ability to lead client calls independently without hand-holding.
A structured testing methodology (no ad-hoc experimentation).
Extreme ownership mentality: you are tenacious about getting results and proactive in your strategy.
Nice-to-Haves
Experience specifically within the insulation or HVAC niche.
Advanced knowledge of VSL funnel architecture and optimization.
Ability to turn complex data sets into simple, actionable narratives for clients.
Proficiency in staying ahead of Meta platform changes and implementing iOS-resilient tracking strategies.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United Kingdom; United States; Canada
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
About the company
A fast-growing performance marketing and business consultancy, our client specializes in scaling service-based businesses through a proprietary AI-driven expansion engine. By focusing on the insulation and home services sectors, the team moves beyond traditional lead generation to provide a comprehensive growth suite that includes paid acquisition, sales process optimization, and operational infrastructure. They partner with high-intent firms to bridge the gap between marketing spend and closed revenue, utilizing advanced automation and data-driven creative strategies to help partners achieve seven-figure growth.
The company operates with a high-performance, results-oriented culture that prioritizes efficiency and transparent communication. As a scaling firm, they offer a collaborative environment where team members focus on solving complex bottlenecks in the sales funnel and hiring landscape. Their mission is to transform local service providers into market leaders by implementing scalable systems that maximize long-term profitability and brand dominance. This is an ideal environment for those passionate about marketing innovation, conversion integrity, and measurable business impact.
Job Summary
We are looking for a high-performance Senior Media Buyer to spearhead Meta ad strategy for a rapidly growing marketing and consulting firm. This is not a "maintenance" role; we are looking for a strategic powerhouse who can take full ownership of a portfolio of insulation and home improvement businesses. You will be responsible for driving high-ticket lead generation, optimizing complex funnels, and managing client relationships directly. This position is designed for an expert who thrives on extreme ownership and is ready to transition into a leadership role as we continue to scale.
Key Responsibilities
Build, launch, and scale high-performing Meta (90%) and Google Ads (10%) campaigns, focusing on Search, Display, and Performance Max.
Continuously monitor and refine campaigns to meet strict KPI targets, including Cost Per Lead (CPL) and Cost Per Sale.
Design and optimize high-converting landing pages (via Perspective) to ensure maximum lead quality and conversion rates.
Build and manage lead nurturing workflows and integrations within GoHighLevel to ensure seamless lead delivery to clients.
Work alongside the Creative Lead and Account Management team to translate performance data into actionable growth strategies.
Prepare and communicate campaign results internally and support the account manager in client-facing updates.
Requirements
Proven experience managing $30k–$100k+ in monthly Meta ad spend across multiple accounts.
Deep expertise in high-ticket lead generation for home services, home improvement, or contractor verticals.
Demonstrated track record of scaling campaigns profitably and optimizing for sales-ready inspections/applications.
Previous experience mentoring junior media buyers or reviewing account work.
Strong communication skills with the ability to lead client calls independently and handle difficult conversations with confidence.
A structured, scientific methodology for testing audiences and creatives—no ad-hoc experimentation.
Data-driven mindset with a primary focus on ROI, CPA, and funnel efficiency.
Extreme ownership mentality: you identify and solve problems before leadership notices them.
Experience building and optimizing VSL-based funnels.
Advanced knowledge of CRM integration and lead tracking for home service businesses.
Background in copywriting or creative direction specifically for Meta direct-response ads.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Jeddah, Saudi Arabia
Eram Talent is currently seeking experienced Mechanical Inspectors to join our team. We specialize in talent acquisition for the Oil & Energy sector, providing skilled professionals across various industries such as Oil & Gas, Petroleum, Infrastructure, Energy, and more. As a Mechanical Inspector, you will be responsible for ensuring that mechanical equipment and installations meet quality, safety, and regulatory standards.
This role requires a detail-oriented professional capable of carrying out comprehensive inspections and audits. You will work closely with project teams to support quality assurance and control throughout the project lifecycle.
Responsibilities
Conduct detailed inspections of mechanical equipment, welds, and assemblies to verify compliance with specifications and industry standards.
Review technical documents, drawings, and inspection plans.
Perform non-destructive testing (NDT) coordination and review results.
Document and report inspection findings, discrepancies, and recommendations.
Collaborate with engineers, contractors, and quality teams to address any non-conformance issues.
Ensure all inspection activities comply with client and company policies.
Maintain inspection records and reports accurately and timely.
Requirements
Diploma in Mechanical Engineering or related field.
Minimum of 8 years’ experience as a Mechanical Inspector, preferably within the Utility or Energy sector.
Excellent attention to detail and analytical skills.
Ability to work independently and in a team environment.
Strong communication and interpersonal skills.
Ability to interpret technical drawings and documents.
Willingness to relocate or work on-site as needed.
Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Jeddah, Saudi Arabia
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the RL Teams
Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely.
This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact.
You may be a good fit if you:
Have strong software-engineering skills and deep Python expertise, including async/concurrent programming
Are comfortable owning systems end to end and debugging across the stack
Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results
Care about code quality, testing, and performance
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may also have:
Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
Background in program analysis, testing, verification, compilers, or formal methods
Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems
CUDA / GPU or TPU kernel experience and accelerator-performance intuition
Experience with virtualization and sandboxed code execution environments
Related roles
If your background leans toward one of these areas specifically, you may also want to look at these postings:
Research Engineer, Performance RL (Reinforcement Learning)
— teaching Claude to write correct, fast code for accelerators
Research Engineer, Universes
— long-horizon, ultra-realistic agentic training environments
Research Engineer, Cybersecurity RL (Reinforcement Learning)
— RL for security-relevant coding capabilities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments.
Responsibilities:
Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers.
Ability to write safety evals and communicate externally about safety.
Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state.
Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
You may be a good fit if you have:
Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs
Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
Evidence of exercising judgment and decision making in ambiguous situations.
Planning, building, launching and measuring new products / systems in a zero to one environment.
Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
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:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bangalore, India
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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: Brussels, Belgium
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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: Dubai, United Arab Emirates
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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: Madrid, Spain
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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: Dublin, Ireland
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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: London, United Kingdom
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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
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 architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Cork, Ireland
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorUnited States; United Kingdom; Canada
УдалённоUnited Kingdom; United States; Canada
Canada - Remote; Germany - Remote; United Kingdom - Remote; United States - Remote; We are unable to provide visa sponsorship or relocation for this role
