Location: Remote - US
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Software Engineer (L2) - for Voice Trust: helping ensure Twilio’s Voice customers have reliable voice communication with their customers that ensure their customers will answer their calls.
About the job
This position is needed to add to our Voice Connectivity Trust team in the US to enable Twilio to better support our customers using Voice in their solutions. As a Software Engineer on this team you will participate in all phases of the software development life cycle which includes requirements gathering with Product Managers, technical design, estimations, sprint planning, coding, testing, deployments and on-call support. This engineer will own, operate and maintain their teams’ services in a distributed production environment, employing Agile methodologies to continuously deliver value to customers.
Responsibilities
In this role, you’ll:
Be an owner:
Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them
Wear the customer's shoes:
Work closely with stakeholders to understand customer needs and, devise and deliver, simple, robust and scalable solutions
Write it down:
Be comfortable expressing thoughts and ideas as detailed prose and use it as an effective means to collaborate with leads, architects and cross functional teams
Be bold:
Embrace the challenge of scaling a complex distributed platform with points of presence globally, each one concerned with high availability, high reliability, high throughput, low latency, and media fidelity
Draw the owl:
Figure out novel ways of solving customer problems for the Voice channel
Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:
Minimum 2-3+ years of hands-on experience in a large scale, distributed applications environment on JVM based technologies
Experience building RESTful services, API design and event-driven architectures (Kafka, SQS)
Understanding of CI/CD pipelines
Hands on experience with cloud infrastructures such as AWS, GCP, OpenStack or Azure
Experience with on-call rotations, incident response, monitoring/alerting tools (Prometheus, Datadog, Grafana)
Excellent written communication skills - essential for effective AI prompting and for creating clear technical documentation (with or without AI assistance)
Proven ability to critically evaluate AI-generated code for correctness, security, performance, and maintainability
Strong Java fundamentals with the ability to architect, review, and debug code whether written by you, teammates, or AI agents
Demonstrated proficiency working with AI coding assistants (Claude, GitHub Copilot, Cursor, or similar) - you should be able to describe your workflows and show examples
Bachelor's degree in Computer Science or a related engineering field
Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems
Able to work well in a team setting and both highly motivated and motivating
Desired:
Can demonstrate with metrics how you have used AI to increase productivity
Experience scaling data tiers employing a variety of SQL/NoSQL database and caching technologies
Hands on experience scaling production backend systems, with the proven ability to design and develop horizontally-scalable, resilient and performing-under-load systems
Knowledge and experience working with SIP protocol
Knowledge and experience working with Stir/Shaken protocol
Location
This role will be Remote in the USA but is
not eligible to be hired in CA, NY, WA, PA, CT.
We prioritize connections and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Compensation
*Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600
Based in the San Francisco Bay area, California: $163,100 - $203,900.
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until 12/31/2026, but may change based on business needs.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
УдалённоRemote - US; Compensation for candidates in other locations will be discussed during the hiring process
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Key Responsibilities:
Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
Independently lead small research projects while collaborating with team members on larger initiatives
Design, run, and analyze scientific experiments to advance our understanding of large language models
Optimize and scale our training infrastructure to improve efficiency and reliability
Develop and improve dev tooling to enhance team productivity
Contribute to the entire stack, from low-level optimizations to high-level model design
Qualifications:
Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
Strong software engineering skills with a proven track record of building complex systems
Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
Familiarity with large-scale machine learning, particularly in the context of language models
Ability to balance research goals with practical engineering constraints
Strong problem-solving skills and a results-oriented mindset
Excellent communication skills and ability to work in a collaborative environment
Care about the societal impacts of your work
Preferred Experience:
Work on high-performance, large-scale ML systems
Familiarity with GPUs, Kubernetes, and OS internals
Experience with language modeling using transformer architectures
Knowledge of reinforcement learning techniques
Background in large-scale ETL processes
You'll thrive in this role if you:
Have significant software engineering experience
Are results-oriented with a bias towards flexibility and impact
Willingly take on tasks outside your job description to support the team
Enjoy pair programming and collaborative work
Are eager to learn more about machine learning research
Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects
Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights
Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.
Sample Projects:
Optimizing the throughput of novel attention mechanisms
Comparing compute efficiency of different Transformer variants
Preparing large-scale datasets for efficient model consumption
Scaling distributed training jobs to thousands of GPUs
Designing fault tolerance strategies for our training infrastructure
Creating interactive visualizations of model internals, such as attention patterns
At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.
If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£630,000 GBP
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: Dhahran, Saudi Arabia; Bengaluru, India
Eram Talent, a leading talent acquisition company, is on the lookout for a highly skilled Data & AI Architect to join our team in Saudi Arabia. The Data & AI Architect will be instrumental in designing and implementing data-driven solutions that leverage advanced analytics and artificial intelligence to empower business decisions across various projects in the region.
This role requires a deep understanding of data architecture, data modeling, and AI/ML technologies. The architect will collaborate with cross-functional teams to ensure that the data architecture is robust, scalable, and aligned with the business strategies. This position offers an exciting opportunity to innovate and shape the future of data utilization within organizations.
Responsibilities
Own enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery.
Develop and implement a comprehensive data architecture strategy that supports business goals and AI initiatives.
Design data models, database structures, and data flow processes to ensure data integrity, availability, and security.
Design and oversee the implementation of advanced analytics solutions, including machine learning models and algorithms.
Collaborate with data engineering and data science teams to ensure that data pipelines are efficient and aligned with AI/ML requirements.
Establish best practices for data governance, data quality, and data lifecycle management.
Support the selection and implementation of data management tools and technologies.
Engage with stakeholders to understand their data needs and ensure that data solutions deliver maximum business value.
Monitor trends in the data and AI landscape, refining strategies as necessary to drive continuous improvement and innovation.
Requirements
Education:
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
Experience:
15+ years of experience in data architecture, data engineering, or AI/ML roles.
Proven experience in designing and implementing data models and architecture in large-scale data environments.
Experience with AI and machine learning frameworks, libraries, and tools.
Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
Skills:
Strong knowledge of database systems (SQL and NoSQL) and data warehousing concepts.
Excellent analytical and problem-solving abilities.
Strong communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
Ability to work collaboratively in a team-oriented environment.
Location: Lugano
Workplace: OnSite
Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust.
We are seeking Software Engineers, an entry-level to more senior technical role focused on learning and contributing to the development of blockchain and digital asset solutions for enterprise and institutional clients. This role provides hands-on experience with distributed systems, cryptography, and financial technology while working alongside experienced developers and architects.
Within the Service & Enterprise Solutions organization, the Software Engineers contribute to building secure, scalable platforms for banking clients. This role offers the opportunity to work with cutting-edge blockchain technologies, learn industry best practices, and grow technical skills in a fast-paced fintech environment.
What You'll Be Doing (Responsibilities):
- Write clean, maintainable code following team coding standards and best practices
- Implement features and functionality based on technical specifications
- Debug and resolve software defects with guidance from senior team members
- Develop and execute unit tests to ensure code quality
- Participate in code reviews to learn from experienced developers
- Support integration activities with APIs, databases, and external systems
- Document code and technical processes clearly
- Collaborate with architects, DevOps engineers, and QA teams
- Learn and apply software development principles, design patterns, and fintech domain knowledge
What We Look for In You (Required Qualifications):
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
- 0-5 years of professional software development experience (internships and academic projects count)
- Proficiency in at least one programming language (Python, JavaScript/TypeScript, Go, Java, or Rust)
- Understanding of fundamental programming concepts: data structures, algorithms, object-oriented programming
- Familiarity with version control systems (Git) and collaborative development workflows
- Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery
- Strong problem-solving abilities and attention to detail
- Eagerness to learn new technologies and adapt quickly
- Languages: English required; Swiss German/German, French and/or Italian a plus
- Location: Switzerland, with focus on Lugano
Nice To Haves (Preferred Qualifications):
- Basic understanding of blockchain, distributed systems, or cryptography concepts
- Exposure to API design and RESTful services
- Interest in cryptocurrency, digital assets, or decentralized technologies
- Experience with databases (SQL/NoSQL)
- Familiarity with cloud platforms (AWS, Azure, GCP) or containerization (Docker)
- Understanding of agile development methodologies
- Contributions to open-source projects or personal coding portfolio
- Interest in progressing into senior development or architecture roles
🔒 Stay Safe from Job Scams
All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.
Location: London
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’re seeking an experienced Algo / SOR Developer to join our team in London. You will have a proven track record of building and benchmarking execution algorithms from the ground up.
Ideally, you’ve been actively engaged with the crypto markets, or have a strong curiosity about them. In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure.
You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you.
What You’ll Do:
Design and development of a low-latency, high-throughput EMS/Smart Order Router system
Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost
Collaborate with traders and product managers to refine routing logic and build new algorithmic capabilities
Monitor and optimize system performance under real-world trading conditions
Contribute to system resilience and business continuity
Provide support for production trading issues
What We’re Looking For:
8+ years of experience developing routing strategies for specific markets (e.g., FX Markets, crypto exchanges) in Java
Knowledge of tick data analytics and real-time market data processing
Familiarity with cloud-based market access or hybrid deployments
Experience working in high-frequency or algorithmic trading environments
Experience building low-latency systems and working with multicast/unicast market data feeds
A solid understanding of the application and infrastructure stack associated with electronic and algorithmic trading
Strong technical background, with the ability to understand system architecture and technical workflows
Proficiency with trading system architecture (OMS/EMS, market gateways)
Strong understanding of concurrency, networking, and memory management
Experience with Linux systems and performance profiling tools
A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment
Bonus Points:
Experience in the
DeFi, or crypto space
Exposure to regulatory or compliance-driven environments
Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes
What We Offer:
Competitive base salary and discretionary bonus
Company-paid health and protective benefits for employees and their eligible dependents
Free virtual coaching and counseling sessions
Opportunities to learn about the Crypto industry
Smart, entrepreneurial, and fun colleagues
Employee Resource Groups
*Benefits may vary depending on location.
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: London, UK
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
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real-world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Proficiency in Python or Rust
Software engineering experience building and operating distributed systems in production
Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure)
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Significant experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience building load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Deep experience operating Kubernetes and cloud infrastructure at scale
Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware)
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£325,000
—
£390,000 GBP
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: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The DEX Token Markets team at OKX Web3 builds real-time market tracking and analysis tools across 40+ chains and hundreds of thousands of trading pairs — charts, trade feeds, watchlists, alerts, and screeners trusted by millions of traders navigating DeFi, including the fast-moving meme coin markets driving much of today's on-chain volume.
What You'll Be Doing
Build and maintain the market tracking platform, including systems tuned for meme coin-style volume spikes and liquidity swings.
Develop high-throughput, low-latency backend systems that keep data accurate and reliable under bursty load.
Troubleshoot issues to ensure service stability and quality.
Ship features on time with clean, well-tested, maintainable code.
Collaborate with product and engineering to keep integrations running smoothly.
What We Look For In You
Bachelor's/Master's in CS, Software Engineering, or related (or strong STEM background).
3-5+ years building high-performance systems in Java — strong grasp of JVM, IO, multithreading, concurrency, networking.
Solid MySQL experience (transactions, indexing, SQL optimization) and familiarity with caching/message queue middleware.
Strong command of data structures, algorithms, design patterns.
Clear logic, strong communication, thrives in fast-paced environments.
Hands-on meme coin trading experience — an active trader/degen who understands the volatility, liquidity dynamics, and speed that define this market, bringing real product intuition to the team.
Nice to Haves
Distributed systems experience — consistency, high availability, fault tolerance, horizontal scalability.
Experience with real-time on-chain data systems: DEX pools, token launches, liquidity tracking.
Working proficiency in English for global collaboration.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Yerevan, Armenia
Sperasoft is a leading game co-development company headquartered in the heart of Silicon Valley. We work closely with our partners to deliver high-quality titles for world-class publishers. Sperasoft is a part of Keywords studios – international technical and creative services provider to the global video games industry and beyond.
Responsibilities
Design, build and maintain efficient, reusable and reliable C++ code
Help maintain code quality and organization
Implement performance and quality modules
Perform communications within a team
Requirements
Proficiency in C++, with fair knowledge of the language specification
Knowledge of the standard library, STL containers, and algorithms
Understanding of memory management in non-garbage collected environments
Understanding of dynamic polymorphism and C++ specific notions
Familiarity with C++ templates
Production experience in UE4/5 will be a plus
Familiarity with continuous integration
Good communication skills and spoken English
Production UI experience would be a big plus
Benefits
Working with an international team of world-class professionals on exciting and challenging projects;
Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events;
Medical Care package;
Sensibly flexible working hours;
Breakfasts, snacks and fruits available during the day, tea and coffee machines;
Friendly team environment;
Additional benefits – care bonus to cover health, educational and safety needs.
Location: Canada; Remote; Shanghai
Workplace: remote
ABOUT YOU
We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
1. Architecture & Development
Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe.
Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.
Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.
Implement CI/CD for data pipelines using Git, dbt, and automated testing.
Define data quality checks and auditing pipelines for ingestion and transformation layers.
2. Leadership & Collaboration
Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices.
Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.
Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).
Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.
3. Performance & Scalability
Tune algorithm performance.
Establish data partitioning, clustering, and materialized views for fast query execution.
Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).
4. Governance & Best Practices
Establish and enforce naming conventions, data lineage, and metadata standards across schemas.
Lead code reviews, enforce documentation standards, and manage schema versioning.
Contribute to the company’s evolving data mesh and streaming architecture vision.
Qualification & Skills:
5+ years of experience in Data Scientist, with
3+ years in Spark framework
.
Strong SQL and Python skills, with proven experience building
ETL/ELT
at scale.
Deep understanding of algorithm
performance tuning
,
query optimization
, and
warehouse orchestration
.
Experience with
data pipeline orchestration
(Airflow, Prefect, dbt, or similar).
Solid understanding of
data modeling
(Kimball, Data Vault, or hybrid).
Proficiency in
Kafka
,
GCP
, or
AWS
for real-time or batch ingestion.
Familiarity with
API-based data integration
and
microservice architectures
.
Preferred
Experience lead
machine learning teams
or/and deploying
ML feature pipelines
.
Background in
ad-tech, gaming, or e-commerce
recommendation systems.
Familiarity with
data contracts
and
feature stores
(Feast, Tecton, or custom-built).
Experience managing small data engineering teams and setting technical direction
Strong ownership and ability to work autonomously in a fast-paced environment.
Excellent cross-functional communication — can translate between engineering and business.
Hands-on problem solver who balances velocity with reliability.
Collaborative mentor who raises the bar for team quality and discipline
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Data Scientist, we will conduct a background check that may include the following
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Ukraine
We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you.
Responsibilities
Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion).
Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs.
End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring.
LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements.
AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines.
Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team.
Mentor junior engineers and contribute to technical direction and engineering best practices.
Requirements
BSc in Computer Science, Mathematics, or related field.
5+ years of professional experience working on AI/ML projects.
Good command of English (written and spoken).
Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy).
Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics.
Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis.
Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar.
Good grasp of software-engineering best practices: Git, code reviews, testing, CI.
Preferred Qualifications
Knowledge of C++ or C# for performance-critical modules.
Experience deploying models via Docker, Kubernetes, or cloud AI services.
Exposure to vector databases and RAG workflows.
Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels).
Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML).
Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction)
Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc.
Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning.
Familiarity with modern data lake architectures and scalable data storage concepts.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity:
The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing
:
Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Development of machine learning models
Partner with product and engineering team in implementing features and models, and enhancing systems
What We Look For In You:
Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
4+ years of
fraud analytics experience
in financial services or FinTechs
Crypto/Blockchain experience
Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Successful track record of owning and driving large, complex data analysis projects.
Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills
Nice to Haves:
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ONSITE
#LI-WWW
#LI-HYBRID
#LI-ED1
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Baku
Workplace: onsite
RESPONSIBILITIES
Develop and maintain new functionality;
Design and implement new services to support product features;
Proactively propose ideas for improving the product;
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions;
Own your code in production by monitoring, debugging, and continuously improving service performance and reliability;
Write automated tests and follow CI/CD best practices to ensure high-quality deployments;
Participate in code reviews, technical discussions, and knowledge sharing across teams.
REQUIREMENTS
Experience in programming and backend development of industrial web applications using PHP and/or Golang;
Strong understanding of algorithms and data structures;
Understanding of decomposition principles, OOP, and design patterns;
Ability to write testable code, including unit and functional tests;
Good command of SQL, database design, and OLTP/OLAP approaches;
Ability to participate effectively in team-based development;
English proficiency at B2 level.
NICE TO HAVE
Experience in building high-load enterprise applications and event-driven systems;
Knowledge of application architecture patterns and experience applying them;
Experience working with continuous integration and deployment systems (Docker, Jenkins, GitLab, etc.);
Experience with frontend development using any framework, preferably React.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
ОфисBaku
seniorГеография найма не уточнена
СтажёрHanoi
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.
