Location: Annapolis, MD
The Patient Access Associate (PAA) is a hospital-based, non-clinical healthcare professional who serves as the first point of contact for patients. In this pivotal role, the PAR ensures a positive patient experience during the registration and admission processes by accurately collecting essential demographic and financial information.
1.
Patient Identification and Documentation:
·
Greet patients and visitors courteously and professionally.
·
Accurately identify patients in the Master Patient Index to reduce erroneous duplicate medical records, maintaining a 98% accuracy rate in medical record creation.
·
Update demographics per legal identification.
·
Verify the information on armbands before placing them on patients.
·
Explain all required documents verbally, obtain signatures appropriately, and document any inability to obtain signatures correctly, including immediate scanning into EMR, per process.
·
Process all ‘unable to sign’ consents per process, including following legal algorithms to research and communicate with patient contacts to obtain appropriate surrogate; escalate to next steps (Care Management) when unable to find surrogate.
2.
Patient Registration and Insurance Verification:
·
Conduct face-to-face interviews to accurately obtain and process patient demographic and financial information, maintaining a minimum accuracy rate of 97% for error-free registrations.
·
Process and act on Real-Time Eligibility (RTE) messages, including adding, terminating, and correcting coverages.
·
Identify all true self-pay patients accurately and forward to Medicaid eligibility and application staff, ensuring only true self-pay patients are screened.
·
Scan all required documents into patient records and place HAR notes on accounts when necessary.
·
Identify and resolve insurance verification issues, informing patients of available options, including financial assistance.
3.
Regulatory Compliance and Customer Service:
·
Ensure all patients receive necessary regulatory information and enter appropriate documentation in the EMR (e.g., HIPAA, Patient Rights Brochure, IMM, NOOS, ABN, etc.).
·
Explain hospital policies, procedures, and financial responsibilities to patients and their families, providing excellent customer service.
4. Appointment Scheduling:
·
Schedule appointments, surgeries, and other medical procedures according to patient and provider preferences.
·
Verify insurance coverage and obtain pre-authorizations as needed.
5. Financial Communication:
·
Communicate financial responsibilities to patients and collect funds in accordance with established protocols.
·
Make referrals to Charity Care and Medical Assistance when needed.
6. Workflow Management:
·
Answer and direct incoming and external calls promptly.
·
Independently prioritize work, including work queue management, patient registrations, insurance verification, and other assigned tasks to meet performance and productivity standards within department deadlines.
·
Identify and correct errors in accounts using appropriate tools (e.g., NextBar, OneSource).
7. Meeting and Training Participation:
·
Attend departmental staff meetings or watch videos when absent.
·
Attend all required in-person training/in-services and complete all educational assignments within the required timeframe.
·
Read and respond to emails during each shift.
8. Adherence to Policies:
·
Adhere to hospital policies and procedures, including timely arrival, minimal absences, appropriate attire, readiness for work, and minimal personal electronic usage.
·
Adhere to the RISE values. Contribute to a positive work environment that promotes teamwork, collaboration, professionalism, and continuous improvement.
9. Additional Responsibilities:
·
Perform other duties as assigned by the Director, Manager, or Supervisor.
Experience/Education/Certification Requirements:
High school diploma or equivalent.
0–11 months of
direct
Patient Access or healthcare registration experience.
Strong verbal and written communication skills to interact with patients, families, and clinical teams.
Demonstrated ability to work both independently and collaboratively in a high-paced healthcare environment.
Excellent attention to detail and accuracy in data entry and documentation.
Compassionate, patient-centered approach to service delivery.
Must obtain Certified Patient Access Specialist (CPAS) certification within 8 months of hire.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Physical Demands – Light Work – Exerting up to 20 pounds of force occasionally and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects.
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
The above job description is an overview of the functions and requirements for this position. This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary.
Pay Range
$17.50
—
$24 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
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Location: United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.
The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:
Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications
We are seeking
Research Engineers
to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.
You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications.
This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
What You’ll Do
1.
Conduct Research on Frontier AI Systems
Investigate the capabilities, limitations, and training methods of frontier AI systems.
Formulate research questions that can inform Turing’s products, platforms, and technical strategy.
Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation.
Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.
2. Build and Evaluate Research Systems
Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks.
Train, test, and evaluate models using modern AI and machine learning tools.
Analyze results carefully and draw clear, evidence-based conclusions.
Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation.
Iterate quickly from early hypothesis through validated technical insight.
3. Translate Research into Practical Impact
Collaborate closely with Research, Engineering, Product, and Operations teams.
Translate research findings into improvements for Turing’s products, platforms, and AI capabilities.
Help identify which ideas are ready to move from exploration into scalable, real-world applications.
Communicate technical findings clearly to both specialized and cross-functional audiences.
4. Contribute to the Research Community
Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate.
Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration.
Represent Turing thoughtfully within the broader AI research community.
What We’re Looking For
Research background:
PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered.
Technical depth:
Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling.
Relevant expertise:
Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks.
Research engineering ability:
Strong programming skills and the ability to implement, test, and iterate quickly in a research environment.
Scientific judgment:
Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making.
Communication and collaboration:
Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.
A note from our CTO,
Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design.
Build datasets and environments that directly improve the capabilities of advanced AI systems.
Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks.
Apply frontier AI innovations to high-value enterprise workflows.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation:
$250,000 to $400,000 OTE + Equity
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: USA (Remote) / Barcelona, Spain
Appodeal
is a dynamic US-based product company with a truly global presence.
We have offices in
Warsaw, Barcelona and Parkland (FL),
along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
Seek the Truth and Say It with Care:
We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t.
Leverage Data to Build Product:
Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them.
We Work Together to Serve Others:
No closed doors between teams. We share what we learn and win as one company first.
Insist on Higher Standards:
We don’t settle for “good enough”. We question it and push for better.
Passionate Curiosity Fuels Perseverance:
We ask “why”, take on ambiguous problems and keep going when they get hard.
Lean Startup Mentality: Start Small, Iterate Quickly:
Think big, ship an MVP first and learn fast. No big-bang releases.
Ownership and Accountability:
We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn.
We are seeking an
independent board director with deep experience operating ML-driven
products and data platforms at scale
.
This role is not focused on academic research or algorithm development. Instead, we are looking for a leader who has built organizations where
data, experimentation, and machine l
earning directly drive product decisions, optimization, and revenue growth
.
The ideal candidate brings expertise in areas such as:
building strong
data science organizations;
designing
data platforms and experimentation infrastructure;
integrating ML into
product decision loops;
developing
operating cultures built around data and experimentation;
This is a
non-executive board position
, not an operating role.
Appodeal is building a
performance-driven technology platform powered by data and
machine learning
.
Our systems rely on:
large-scale data pipelines;
real-time decision systems;
automated optimization;
experimentation and model iteration.
The company operates an ecosystem including:
advertising infrastructure;
demand-side platform (DSP);
supply-side platform (SSP);
mobile game publishing and development.
Machine learning and data infrastructure are
core to the company’s long-term competitive
advantage
.
Strategic Focus of the Role
The mission of this role is to strengthen the board’s ability to guide the company in building a
world-class data and machine learning organization
.
The director will contribute a perspective on:
structuring and scaling
data science teams;
designing
experimentation-driven product cultures;
building
high-quality data platforms and infrastructure;
integrating ML systems into
business decision processes;
best practices for
data-driven product development;
organizational structures that allow ML systems to improve continuously.
This role focuses on
how ML-driven companies operate
, rather than on the underlying algorithms themselves.
Responsibilities
Board members are expected to:
Participate in
quarterly board meetings;
Provide
independent strategic guidance
to the CEO and leadership team;
Contribute to discussions around
data platform strategy and ML-driven product
development;
Provide perspective on
organizational structure for data science and ML teams;
Help evaluate
major technical and infrastructure investments;
Share insight from
companies where ML directly drives business outcomes;
Board members are
not involved in day-to-day operations
.
Ideal Background
We are looking for a
technology or product leader who has built ML-driven product
organizations
where data science plays a central role in revenue generation and product optimization.
Prior board experience is welcome but not required.
What We Value
We are looking for individuals who bring:
deep
experience running ML-driven product organizations:
strong
operational judgment;
experience building
data-driven engineering cultures;
an
independent mindset;
willingness to challenge assumptions constructively.
Time Commitment
Estimated commitment:
approximately four weeks per year
. This includes preparation and participation in board meetings as well as occasional strategic discussions with the leadership team.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us
and help shape the future of mobile app success!
Location: Remote, Canada
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#LI-AV1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $144,000-181,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Remote - US
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D. grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#-LI-AV1
#LI- remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $163,000-204,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: London, England, United Kingdom
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About The Role
We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment.
You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
Responsibilities
Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
Research, prototype, and ship ML and optimisation models into production
Continuously improve existing algorithms and identify opportunities for new ones
Requirements
Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
Strong foundation in mathematical optimisation or mathematical programming
Solid knowledge of probability & statistics
Solid knowledge of Reinforcement Learning and Casual Inference
Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
Nice To Have
Exposure to dynamic pricing, auction design, or marketplace matching problems
Publication in Q1/A* journals, participation in NeurIPS and other conferences
What We Offer
Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
Salary: £50,000 – £70,000
Employee stock options plan
Private medical and dental insurance
Life and critical illness cover
Latest-generation MacBook Pro and 4k display
Monthly credit towards Wheely journeys
Cycle to Work scheme
Professional development stipend
All of your personal information will be collected stored and processed in accordance with
Wheely’s Candidate Privacy Notice
Location: Λευκωσία, Nicosia, Cyprus
About Wheely
Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts.
We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you.
About The Role
We're hiring Associate Data Scientists with a background in Operations Research. You will own the entire process: from ideation and research through to production deployment.
You'll join either our Pricing or Matching team, working alongside other Data Scientists and engineers on challenging, high-impact problems such as dynamic pricing and bipartite matching.
Responsibilities
Collaborate with engineers, Data Scientists, designers, and product managers to solve ambiguous problems
Research, prototype, and ship ML and optimisation models into production
Continuously improve existing algorithms and identify opportunities for new ones
Requirements
Master's or PhD in Operations Research, Mathematics, Management Science or a closely related field with a focus on optimisation
Strong foundation in mathematical optimisation or mathematical programming
Solid knowledge of probability & statistics
Solid knowledge of Reinforcement Learning and Casual Inference
Excellent programming skills in Python and core ML tooling (e.g. SQL, PyTorch, etc.)
Nice To Have
Exposure to dynamic pricing, auction design, or marketplace matching problems
Publication in Q1/A* journals, participation in NeurIPS and other conferences
What We Offer
Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
Competitive salary
Employee stock options plan
Private medical and dental insurance
Daily Lunch allowance
Latest-generation MacBook Pro and 4k display
Professional development stipend
Relocation support, including visa sponsorship and allowance
All of your personal information will be collected stored and processed in accordance with
Wheely’s Candidate Privacy Notice
Λευκωσία, Nicosia, Cyprus; Relocation support, including visa sponsorship and allowance
Location: Palo Alto; Montréal
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role Summary
-You will be working with the research team on making state-of-the-art generative models.
-You will run autonomous work streams under the supervision of experienced scientists.
-The role is based in our Palo Alto or Montreal office.
-Internship duration : 3-6 months. We will only consider candidates looking for end of studies internships (Master or Phd)
What you will do
-Explore state-of-the-art LLM algorithms for training LLMs, with the supervision of top level scientists.
-Assist in the design and implementation of machine learning models and algorithms.
-Conduct research on the latest advancements in natural language processing and LLMs.
-Contribute to the development and optimization of our LLM systems.
-Collaborate with cross-functional teams to integrate LLM technologies into various applications.
-Perform data analysis and visualization to support research and development efforts.
-Document research findings and contribute to technical reports and publications.
-Participate in team meetings and brainstorming sessions to share ideas and insights
About you
-Currently doing a Master or PhD at a tier 1 engineering schools / Universities.
-High scientific understanding of the field of generative AI.
-Broad knowledge of the field of AI, and specific knowledge or interest in fine-tuning and using language models for applications.
-Strong programming skills in Python, with experience in libraries such as TensorFlow, PyTorch, or similar.
-Familiarity with natural language processing techniques and machine learning algorithms.
-Design complex software and make them usable in production.
-Navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage.
-Previous experience with LLMs or related technologies.
-Knowledge of deep learning frameworks and techniques..Experience with version control systems (e.g., Git) and linux shell environment.
Now, it would be ideal if you :
-Have experience in fine tuning LLMs.
-Have used complex HPC infrastructure with full autonomy.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India
Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:
Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.
Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.
Ensure high data quality and integrity by implementing robust data validation and testing processes.
Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.
Monitor and troubleshoot data processing workflows to ensure timely data delivery.
Document data architectures, processes, and workflows for knowledge sharing and compliance.
Stay ahead of industry trends and best practices in big data technologies and methodologies.
Requirements
Requirements:
Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of experience as a Big Data Engineer or in a similar data engineering role.
Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.
Strong coding skills in programming languages like Java, Scala, or Python.
Familiarity with data processing frameworks and ETL tools.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).
Analytical mindset and excellent problem-solving abilities.
Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.
Preferred Qualifications:
Experience with machine learning frameworks and algorithms is a plus.
Knowledge of data governance and security best practices.
Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
The TeamViewer ONE platform is focused on small and medium businesses and finds and resolves IT issues before they affect users. Over the past several years we have successfully built and released products which makes IT administrators' day-to-day life easier. Our vision is to become THE autonomous endpoint management solution for our customers.
Responsibilities:
We’re looking for a Senior/ Staff Software Engineer to play a key role in supporting and enhancing our TeamViewer ONE capabilities, trusted by small and medium business customers. In this role, you’ll be essential to maintaining and improving the experience for our existing customers, while helping evolve our User Experience and SaaS cloud platform. You will also bring in expertise in using technologies - like React, Typescript, Javascript, CSS, Open API, Redux, Webpack.
As part of an agile team, you’ll contribute as an individual contributor, working primarily with Typescript, react to enhance our product TeamViewer ONE, which will run as containerized services on Kubernetes. You will be expected to guide and mentor other team members.
Build services for our TeamViewer ONE solution, by enabling the platform and clients, to derive insights
Design and develop new functionality and components for our software using coding languages but not limited to JavaScript, React, Typescript, CSS3
Collaborate with front-end engineers, backend engineers and quality assurance engineers to design optimum solutions, balancing performance, costs and long-term maintainability
Continuously integrate, build and deploy our solution from test system to production
Design, implement and consume common APIs based on architecture guidelines and frameworks
Design UI-components and autogenerate them based on defined schemes
Design and build usage behavior events into our frontend
Create UI test cases with cypress testing framework
Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies
Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications
Ensure that our software is secure, stable, scalable and runs efficiently
Monitor the latest technical developments in your field and make proposals for improvement
Guide and assist other team members in engineering topics relevant for the team
Coach & mentor other members in the team
Act as an advisor for product managers (feasibility studies and time estimates for new functionality to be implemented)
Communicate with customers to analyze & fix product defects and during major implementations
Requirements:
A university or college degree in the field of information technology, computer science or a related subject or relevant work experience
9+ years of professional experience in the field of software development
Solid knowledge of Typescript, JavaScript, HTML, CSS is mandatory
Solid knowledge of JavaScript frameworks and tools like React, Redux, Webpack, etc.
Strong focus on accessibility and performance, with the ability to validate that solutions operate efficiently under increasing workloads and as a distributed system
Must have experience in any of the unit test frameworks
Experience in cypress UI test framework
Experience in Java, C# or C++ is a plus
Experience in Kubernetes, Docker, Kafka, Argo CD, Azure/AWS/GCP services (like AKS, Redis, Key Vault, Event Hub, Service Bus, SQL MI, etc.) is a plus
Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations with applications and user interfaces
Understanding of Clean Code and Design Patterns for object-orientated programming
Familiarity with AI tools for coding (like Github Co-pilot or Cursor) is a plus
Familiarity with concepts of end-user-computing, log analysis, anomaly detection & correlation is a plus
A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things
Fluency in English is mandatory, further languages like Portuguese are a plus
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
Location: 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The YDB Development Team at Nebius is hiring mid- and senior-level software developers with C++ expertise.
YDB is an open-source platform with two roles within Nebius:
Providing the binary object storage foundation for S3 Object Storage, Shared Filesystems and Network Block Storage
Serving as a distributed relational database and message broker for services such as IAM, billing, audit trails and logging
We operate YDB clusters in more than 10 regions using HDD and NVMe storage. Individual clusters span tens of thousands of nodes, manage hundreds of petabytes of data and deliver terabytes per second of throughput. Our infrastructure includes x86 and Arm-based systems, including NVIDIA GB300 nodes.
What you’ll work on
Evolve YDB’s architecture for new hardware, redesigning core components when incremental optimization is insufficient:
QLC NVMe drives: increase storage density while controlling RAM/CPU consumption and write amplification
Dual 800 Gb/s network adapters: reduce CPU overhead and memory bandwidth consumption to utilize the available NIC bandwidth
NVIDIA GB300-based systems: ensure efficient operation on Arm-based hosts and offload storage and networking processing to BlueField DPUs
Support high-capacity SMR HDDs by designing data placement, sequential writes, garbage collection and recovery around zoned-write constraints
Develop wide erasure-coding schemes to reduce space aplimfication while maintaining durability and availability
Reduce recovery and rebalancing times after device outages while limiting the impact on foreground workloads
Prevent, detect and recover from silent data corruption across memory, networking and storage
Provide the system capabilities and interfaces required by fleet-wide automation so that hundreds of production clusters can be deployed, configured, upgraded, diagnosed and operated consistently
We move quickly and focus on delivering practical value. Features and optimizations merged into the production branch are typically deployed within weeks. You’ll see your work solving real problems in live clusters—not waiting years to make an impact.
Requirements:
5+ years of professional experience developing high-load systems in C or C++. Candidates with 3+ years will also be considered if their experience includes relevant work on distributed storage systems
Experience developing high-performance, low-latency software components
Understanding of core dumps, flame graphs and sanitizer-enabled builds
Understanding of CPU caches, atomic operations and NUMA architectures
Nice to have:
Experience designing and developing production-grade distributed storage systems and/or databases
Experience with on-disk data structures such as LSM trees and B+ trees, and storage algorithms such as erasure coding and checksumming
Understanding of NVMe, conventional HDD and SMR HDD internals
Experience with debugging and profiling tools such as perf, VTune, bpftrace and gdb
Familiarity with the Linux kernel, SPDK/DPDK, libaio and io_uring
Knowledge of IP, TCP, UDP and DNS, and ideally InfiniBand or RoCE/RDMA
Experience with Kubernetes and Grafana
Experience responding to production incidents
Knowledge of availability and durability calculations
For
Senior candidates
, we offer hybrid working or the flexibility to work remotely within EU.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands; Berlin, Germany
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
#LI-MM1
We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud.
You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.
What You’ll Work On:
Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
Storage systems: replication, consensus, self-healing, and data migration
What We Expect:
6+ years of professional software engineering experience
Strong knowledge of C++
Solid understanding of algorithms and data structures
Basic knowledge of operating system internals (I/O, memory, scheduling)
Ability to write reliable, maintainable code and debug complex systems
Team-oriented mindset and fluency in English
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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.
United States; For applicants from the European Union, please review
USA (Remote) / Barcelona, Spain
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.
ГибридСтажёрPalo Alto; Montréal; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридseniorNoida, India
seniorHanoi OR Ho Chi Minh City
London, UK; We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech
Dhahran, Saudi Arabia; Bengaluru, India
seniorAmsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Tel Aviv, Israel
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