Location: Serbia
Job Title:
AI/ML Engineer
Department:
IT Services /IT Infrastructure
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: Romania
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: India
Job Title:
AI/ML Engineer
Department:
IT Services
Reports To:
IT Project Manager
Job Overview:
The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities.
The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential.
Responsibilities:
1. Model Development and Optimization
Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting.
Select appropriate algorithms and techniques based on business needs and data characteristics.
Continuously monitor and improve model performance using metrics and feedback loops.
2. Data Preparation and Feature Engineering
Clean, preprocess, and transform structured and unstructured datasets for training and inference.
Engineer and select relevant features to improve model accuracy and generalizability.
Collaborate with data engineers to ensure data quality and accessibility.
3. Model Deployment and MLOps
Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes.
Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow.
Monitor deployed models for drift, latency, and performance in production environments.
4. AI Solutions and Use Case Implementation
Work with business stakeholders to translate real-world problems into AI/ML use cases.
Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection).
Contribute to proof-of-concept projects and assist in scaling successful models to production.
5. Research and Innovation
Stay updated with the latest research, frameworks, and tools in machine learning and AI.
Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability.
Promote innovation by recommending and implementing modern AI strategies.
6. Cross-functional Collaboration
Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery.
Translate technical insights into business value through clear documentation and presentations.
7. Documentation and Best Practices
Maintain comprehensive documentation for models, experiments, and pipelines.
Ensure reproducibility, scalability, and compliance with data governance policies.
Requirements:
Experience:
3–5 years of hands-on experience in machine learning model development and deployment.
Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods.
Technical Skills:
Strong knowledge of:
Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch)
Model evaluation, hyperparameter tuning, and pipeline automation
REST APIs for model serving and integration
Familiarity with:
MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes)
Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform)
NLP or computer vision frameworks (e.g., Hugging Face, OpenCV)
Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication skills, both verbal and written.
Ability to work independently and within cross-functional teams.
Curiosity, adaptability, and willingness to learn continuously.
Location: India
Job Overview:
As a Backend Software Engineer, you will be responsible for server-side web application logic. You will work hand in hand with frontend developers to integrate their work with the server-side logic, ensuring the development of robust and efficient systems.
Key Responsibilities:
Development and Design:
Develop high-quality software design and architecture. Design and implement efficient APIs for the front-end team.
Coding and Implementation:
Write clean, functional, and scalable code for the back-end of web applications. Implement and manage databases and applications.
Integration:
Integrate front-end elements with server-side logic. Coordinate with front-end developers to align server-side with client-side.
Optimization:
Optimize applications for speed, scalability, and security. Address and improve any technical issues.
Testing:
Collaborate with QA engineers to develop effective strategies and test plans. Write and execute testing scripts.
Maintenance and Upgrades:
Perform regular updates to improve system functionality and develop new features.
Requirements:
Education:
Bachelor's degree in Computer Science, Software Engineering, or a related field.
Experience:
At least 2-5 years of experience as a Backend Developer or similar role.
Technical Skills:
Proficiency in server-side languages such as Python with Django and Django Rest Framework. Experience with database technology like MySQL, Oracle, MongoDB, etc. Familiarity with front-end languages such as HTML, JavaScript, and CSS. Basic understanding of Data Structures and Algorithms (DSA)
Soft Skills:
Excellent problem-solving skills, a strong attention to detail, and the ability to work in a team-oriented environment. Good communication skills for coordinating with other teams.
Other:
Familiarity with Agile development methodologies.
Disclaimer:
This job description is not an exhaustive list of the skills, efforts, duties, and responsibilities associated with the position. The company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
Note:
The actual duties and responsibilities may vary depending on the department's needs and the evolution of the role.
Location: Canada; United States
Tasks summary:
Architecture Concept & Requirements
• Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI).
• Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics.
• Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Detailed Design
• Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity).
• Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection).
• Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures.
• Negotiate ICDs and interface agreements with external thruster vendors and component suppliers.
Modeling & Simulation
• Support or Develop 1‑D/3‑D plume models and perform reliability prediction.
Software & Control
• Define command and telemetry interfaces for EP & health‑monitoring telemetry.
• Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms.
Cross‑Functional Coordination, Stakeholder & Program Interaction
• Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
• Negotiate and manage ICDs with platform subsystems and supplier teams.
• Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
• Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests.
• Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling.
Technical Leadership & Mentorship
• Mentor, guide junior engineers and interns.
• Act as technical liaison with customers, partners and external vendors
• Act as Continuous Improvement stakeholder
Configuration, Documentation & Standards Management
• Author and maintain client's EP standards (thruster qualification, PPU design, contamination limits).
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
• Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
• Support Technology Road‑Mapping & Innovation.
Launch-Site, On-Orbit & Operations Support
• Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping.
• Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans.
• Support SOOH development and associated operator training.
Required Qualifications:
· B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
· Strong knowledge of EP thruster families and their performance characteristics.
· Experience with propellant storage & feed-system design (tanks, valves, micro-valves).
· Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
· Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
· Experience with Confluence and JIRA.
· Demonstrated capability to efficiently work with little to no supervision
· Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
· Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).
· Support the Spacecraft operations team in critical phases
Location: Montreal, Canada
Tasks summary:
Architecture Concept & Requirements
Translate mission‑level ΔV, thrust, lifetime, and reliability goals into EP system requirements (performance, power, mass, contamination, EMI).
Produce System Requirements, Interface Control Documents (ICDs), and Description documents for thruster assemblies, Power‑Processing Units (PPU), propellant feed & storage, and control electronics.
Perform requirement management and maintain bidirectional traceability throughout the project lifecycle.
Detailed Design
Perform system‑level power, thermal, and mass budget analyses; produce trade‑off matrices (thrust vs. power vs. propellant mass, reliability vs. complexity).
Lead detailed mechanical/electrical design of thruster mounting, heater/thermal control, and PPU (converter, regulator, fault‑protection).
Define propellant handling hardware (tanks, valves, feed‑lines, interconnects) and develop contamination control procedures.
Negotiate ICDs and interface agreements with external thruster vendors and component suppliers.
Support or Develop 1‑D/3‑D plume models and perform reliability prediction.
Modeling & Simulation
Software & Control
Define command and telemetry interfaces for EP & health‑monitoring telemetry.
Work with FSW teams to develop thrust profile generation, and fault detection isolation recovery (FDIR) algorithms.
Cross‑Functional Coordination, Stakeholder & Program Interaction
Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners.
Negotiate and manage ICDs with platform subsystems and supplier teams.
Support B&P (Phase 0 & pre-phase A).
Integration & Verification (IVV)
Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft‑level EP tests.
Oversee hardware‑in‑the‑loop (HIL) and thrust‑stand testing, including thrust‑calibration, specific impulse measurement, pulse‑modulation, and lifetime cycling.
Technical Leadership & Mentorship
Mentor, guide junior engineers and interns.
Act as technical liaison with customers, partners and external vendors
Act as Continuous Improvement stakeholder
Contribute to MDA’s knowledge‑base, process enhancements, and standards development.
Configuration, Documentation & Standards Management
Author and maintain MDA EP standards (thruster qualification, PPU design, contamination limits).
• Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment.
Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.).
Support Technology Road‑Mapping & Innovation.
Launch-Site, On-Orbit & Operations Support
Provide real‑time EP support during launch, early‑orbit checkout, and routine station‑keeping.
Support on‑orbit checkout procedures, thruster test campaigns, and contingency recovery plans.
Support SOOH development and associated operator training.
B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
Strong knowledge of EP thruster families and their performance characteristics.
Experience with propellant storage & feed‑system design (tanks, valves, micro‑valves).
Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
Experience with Confluence and JIRA.
Demonstrated capability to efficiently work with little to no supervision
Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).
Support the Spacecraft operations team in critical phases.
Required Qualifications:
• B.Sc. in Electrical Engineering, Aerospace, or Physics with 8+ years of electrical propulsion engineering experience on LEO/MEO platforms.
• Strong knowledge of EP thruster families and their performance characteristics.
• Experience with propellant storage & feed system design (tanks, valves, micro valves).
• Strong understanding of aerospace system engineering fundamentals, space environment and orbit mechanics.
• Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.
• Experience with Confluence and JIRA.
• Demonstrated capability to efficiently work with little to no supervision
• Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.
• Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).
• Support the Spacecraft operations team in critical phases.
Location: United Kingdom; Spain; Germany
Workplace: remote
Help Us Build The Future of Travel
At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world.
Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy.
We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone.
Your Next Destination
Location: Remote.
Contract: Full-time, permanent.
Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74
Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price.
You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience.
The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself.
What You'll Do:
Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment.
Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest.
Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints.
Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible.
Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from.
Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit.
Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing.
What You'll Bring:
7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions.
Experience with dynamic or algorithmic pricing systems in production.
An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong.
Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment
Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches.
Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes.
Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly.
Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses.
The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome.
Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision.
Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain.
Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors.
A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission.
Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't
Nice to have:
Experience in marketplace, telecom, travel, or subscription/usage-based businesses.
Bayesian or hierarchical modelling for sparse segments and long-tail SKUs.
Competitive price response modelling, or working with scraped competitor pricing data.
Familiarity with dbt, LightDash, or similar semantic/BI layers.
Experience designing semantic or metric layers consumed by both analytics and production systems.
Experience working in cross-functional teams spanning commercial, finance and product disciplines.
If you are interested in this position, please apply via the link.
Why People Join Us
We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first.
Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one.
As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world.
Before You Hit Apply
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍
This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available:
📍UK: £93,200 - £139,800
📍Spain: €77,600- €116,400
📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800
📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000)
📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000
📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000
Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!
Location: Ontario, CAN
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.
The team has a dual mandate:
maximizing compute efficiency
to reliably serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
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.
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
Significant software engineering experience, particularly with distributed systems
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
Experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience with load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
Proficiency in Python or Rust
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.
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: Bellevue
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your Mission
At UiPath, we believe the next generation of software won't simply automate tasks—it will reason, plan, adapt, and act autonomously.
As a Principal Applied Scientist, you'll help invent that future.
You will lead the research and development of frontier AI systems that combine foundation models, multimodal reasoning, agentic workflows, and post-training techniques to build autonomous software capable of operating enterprise applications like a human.
This is an individual contributor leadership role for scientists who enjoy building. You'll work at the intersection of applied research and production engineering—designing new algorithms, training and evaluating large models, developing novel post-training methods, and shipping systems that reach enterprise customers.
If you're passionate about pushing the limits of LLMs, multimodal models, reasoning, planning, tool use, and AI agents—and you enjoy transforming research into products—this is the role for you.
About the Team
Our Advanced Machine Learning organization is building large multimodal foundation models capable of understanding enterprise software, reasoning over complex workflows, planning long-horizon tasks, and autonomously interacting with digital systems.
Our work spans:
- Foundation models
- Agentic AI
- Multimodal reasoning
- Reinforcement learning
- Post-training
- Model alignment
- Evaluation systems
- Enterprise AI agents
Our mission is to advance practical general intelligence for enterprise automation.
What You'll Do
- Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
- Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation.
- Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion.
- Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use.
- Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration.
- Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation.
- Collaborate closely with engineering and product teams to transition research into production systems.
- Mentor scientists and engineers while raising the technical bar across the organization.
- Influence UiPath's long-term AI strategy through technical leadership and scientific innovation.
What We're Looking For
We're looking for scientists who have successfully taken frontier AI research from idea to production.
The ideal candidate has deep expertise in several of the following:
- Foundation model training
- LLM post-training
- Reinforcement Learning from Human Feedback (RLHF)
- Preference optimization (DPO, PPO, GRPO or similar methods)
- Reward modeling
- Synthetic data generation
- Model evaluation
- Agentic reasoning
- Tool use
- Function calling
- Long-horizon planning
- Multimodal learning
- Retrieval-Augmented Generation (RAG)
- Distributed training and inference
- Large-scale PyTorch systems
- Model alignment and safety
Preferred Experience
- PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Robotics, or a related discipline.
- Significant experience building and deploying production AI systems based on large language models or multimodal foundation models.
- Demonstrated ownership of end-to-end ML systems—from research and experimentation through production deployment.
- Strong programming skills in Python and deep experience with modern ML frameworks such as PyTorch.
- Experience training or fine-tuning large models using distributed compute infrastructure.
- Strong publication record or demonstrated technical leadership in applied AI is highly valued.
- Excellent communication skills and the ability to influence technical direction across organizations.
Technologies We Work With
While experience with every technology is not expected, many members of our team work with:
- PyTorch
- JAX
- CUDA
- vLLM
- Ray
- DeepSpeed
- FSDP
- Triton
- LangGraph
- Semantic Kernel
- MCP
- Vector databases
- Kubernetes
- Azure AI
- Hugging Face
- Distributed GPU training infrastructure
You'll Thrive Here If You...
- Love building AI systems—not just publishing papers.
- Enjoy tackling ambiguous, first-principles problems.
- Are excited by rapidly evolving research.
- Think deeply about evaluation as much as modeling.
- Care about elegant engineering as much as novel algorithms.
- Want your research to power products used by millions of people.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: London
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Tripledot Games
About Tripledot Games
Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.
We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.
Role Overview
As a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform. Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio.
Your initial focus will include hands-on quality assurance: running independent analyses, comparing results with platform outputs, investigating discrepancies, and validating features and metrics. This offers the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business.
Key Responsibilities
Define statistical logic, calculation methods, and detailed requirements for experimentation platform features.
Prototype statistical methodologies and analyses in Python before implementation.
Partner closely with Data Engineers as they develop and improve the experimentation platform.
Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs.
Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable.
Explore opportunities to automate QA processes and improve the efficiency and quality of validation.
Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis.
Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions.
Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve.
Skills, Knowledge and Expertise
3-5 years of professional experience as a Data Scientist or in a closely related role
Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts.
Solid knowledge of statistics and standard statistical methodologies.
Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated.
Familiarity with machine learning methods and the ability to apply relevant approaches when needed.
Excellent attention to detail and a disciplined approach to repetitive or methodical QA work.
Strong problem-solving skills, with the initiative to propose creative solutions and process improvements.
Clear communication skills and the ability to explain analytical methods, results, and rationale.
Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable.
Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility.
Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor.
Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows.
Working at Tripledot
25 days paid holiday
in addition to bank holidays to relax and refresh throughout the year
Hybrid Working
20 days remote working:
Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
Daily Free Lunch:
when in the office you get £12 every day to order from JustEat.
Regular company events and rewards:
quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.
Employee Assistance Program:
Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family Forming Support:
Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
Life Assurance & Group Income Cover:
Financial protection for you and your loved ones.
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
Private Medical Cover
& Health Cash Plan:
Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.
Dental Cover:
Opt-in (P11d benefit).
Cycle to Work Scheme:
Salary sacrifice bike purchase scheme.
Pension Plan:
Qualifying earnings or opt-in 4% contributory match schemes offered.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the Role:
We are seeking an exceptional Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
What you will do:
Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on
Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for:
4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you'll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target base comp range for this position is
$200,000 – $230,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Applied Scientist III to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Ship production algorithmic systems end-to-end, from problem framing to launch to iteration
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Bring new ideas to your work, experimenting with approaches beyond the obvious to get better results
Produce rigorous, well-validated work others can rely on, and review your peers' code and analyses
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for:
2+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent advanced degree
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
A solid command of the methods your work calls for and the data your models depend on
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills, with the ability to present your work clearly to senior stakeholders
A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you'll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes.
Compensation Transparency:
The target base comp range for this position is
$158,000 – $190,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
WHAT YOU'LL DO
- Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
- Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
- Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
- Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
- Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
- Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
- Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
- Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
- Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
- Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
- Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
- Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
- Develop system-level verification and validation strategies for autonomous robotic capabilities.
- Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
- Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
- Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
- Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
- Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
- Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
- Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
- Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
- Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
- Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
- Technical experience in several of the following areas:
- ROS or ROS 2
- Robotics software
- Perception and sensor fusion
- Localization, mapping, and navigation
- Motion or behaviour planning
- Manipulation, locomotion, or whole-body controls
- Artificial intelligence or machine learning
- Simulation and virtual testing
- Distributed or real-time software systems
- Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
- Experience defining measurable acceptance criteria for complex system behaviours.
- Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
- Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
- Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
- Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
- Experience with SysML, model-based systems engineering, or software architecture modelling.
- Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
- Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
Location: US remote-friendly
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
Communicate findings and recommendations to stakeholders across the organization
Stay up-to-date on the latest advancements in machine learning and data science
Mentor and guide junior data scientists on the team
Qualifications:
Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
For M.S. holders: 5+ years of industry experience in applied science or data science roles
For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
Platform experience and a deep understanding of the ads ecosystem
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
Experience with SQL and relational databases
Excellent communication and presentation skills
Passion for Reddit and the online advertising industry
Bonus Points:
Experience with online advertising and ad tech
Experience with causal inference and A/B testing
Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Beijing, China
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Read
our blog
to learn more.
About the role...
The Monetization Pillar focuses on Duolingo’s key business drivers—subscriptions, ads, and in-app purchases. Our goal is to build the best premium experiences for our learners while ensuring the sustainability and success of our business model. As a senior backend Engineer, you will play an instrumental role in the strategic direction of Duolingo by developing and refining the methods that make our monetization efforts more effective and efficient. You'll work cross functionally with product, design, data science, machine learning, and ad operations.
🧠 You will...
Collaborate on software projects with product design and backend aspects
Develop, release, and maintain backend services and/or infrastructure
Lead individual project priorities, milestones, and ensure we're always shipping
✅ You have...
A Bachelor’s degree in Computer Science or related technical field
Strong competencies in data structures, algorithms, and software design
Experience programming in Java, Python, or Kotlin
Solid understanding of one or more database technologies
⭐ Exceptional candidates will have...
Industry experience building high-traffic APIs using public cloud providers
Experience with industry observability technology, such as OpenTelemetry, Grafana, Prometheus, or DataDog.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
¥804,949
—
¥1,088,971 CNY
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Oklahoma City, Oklahoma
Workplace: onsite
About Lyra
Lyra Clinical Associates partners with Lyra Health, a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Lyra members have access to care in one day, and nine out of ten improve with the support of providers like you. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. You will be contracted by Lyra Clinical Associates.
About the Opportunity
Lyra’s provider network is composed of in-person and virtual therapists, physicians, and coaches across the US. With our advanced matching technology, supportive provider platform, and opportunities for training and clinical consultation, being part of our network is an incredible chance to do what you love (like patient care) with support for the things you don’t love (like self promotion and scheduling).
We are looking for contract psychiatrists who are passionate about whole-person, whole family mental health care and working within a connected network to provide patients with easily accessible, culturally responsive, high-quality mental health care.
As a contract psychiatrist, you’ll provide evidence-based treatment via live 60-minute video intake appointments and regular follow-up appointments. You'll conduct psychiatric evaluations and provide medication management. Lyra makes it easy to refer patients to evidence-based therapy and coaching services in tandem with your care.
You will provide care to individuals from a multitude of different backgrounds and experiences, as well as those with varying needs and abilities. We strive to continue to meet their unique needs by delivering culturally-responsive care—an approach that is mindful of the impact of cultural background on each person’s care experience.
Requirements:
Graduate from an accredited (CCNE) Psychiatric-Mental Health Nurse Practitioner (PMHNP) program; OR graduate from an accredited PA program (ARC-PA) with certification through PANCE with preference for Certificate of Added Qualifications in psychiatry, post-graduate fellowship in psychiatry, or other academic psychiatry certificate program completion, including a Doctor of Medical Science with Psychiatry concentration
Unrestricted state license
A minimum of 2 years in practice
Strong preference for NPs and PA-Cs with an active DEA license
Preference for NPs and PA-Cs with additional certification or clinical experience with minors
Must have office space with ability to see clients in Oklahoma City, OK
Ability to provide care to patients with a full range of diagnoses, clinical complexity, and severity levels, with a preference for providers who offer in-person options
Full-time resident of the United States
Here are some of the advantages to joining the Lyra provider network:
Connect with highly compatible clients thanks to Lyra’s powerful matching algorithm technology
Set your own schedule, without a minimum hours requirement
Let Lyra clients easily book appointments with the Lyra Calendar feature, which seamlessly integrates with your calendar
Focus less on the administrative burden of billing with Lyra’s paperless billing and quick payment turnaround
Access Lyra’s experienced clinical consultations team to get rapid support with your Lyra clients as well as access a range of specialty group consultation meetings
Have peace of mind with Lyra’s 24/7 Care Navigation team for crisis support
Upskill your knowledgebase with access to Lyra’s large collection of free and relevant CE credited courses approved by APA, ASWB, and NBCC
Stay in the know with monthly newsletters and robust Help Center resources just for Lyra providers
Access to exclusive provider events with Lyra’s clinical leaders
Responsibilities
Practice comprehensive mental health medication management via a 60-minute intake appointment and regular follow-up appointments
Conduct mental health risk assessments, psychiatric medication evaluations, and longitudinal medication treatment
Construct patient-centered treatment plans, document treatment recommendations, message patients, and prescribe and manage psychiatric medications
Experience and commitment to providing, evidence-based medication treatment that follows clinical best practice guidelines (e.g., measurement based care, patient-centered care
We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this contract position, your data will be processed as per Workforce Privacy Notice. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. For more information about how we use and retain your information, please see our Workforce Privacy Notice.
Location: Beijing, China
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
Read
our blog
to learn more.
About the role...
The Monetization Pillar focuses on Duolingo’s key business drivers—subscriptions, ads, and in-app purchases. Our goal is to build the best premium experiences for our learners while ensuring the sustainability and success of our business model. As a senior iOS Engineer, you will play an instrumental role in the strategic direction of Duolingo by developing and refining the methods that make our monetization efforts more effective and efficient. You'll work cross functionally with product, design, data science, machine learning, and ad operations.
🧠 You will...
Collaborate on software projects with product design and backend aspects
Develop, release, and maintain native iOS applications, primarily in Swift
Mentor and set technical direction for junior engineers across the company
✅ You have...
A Bachelor’s degree in Computer Science or a related technical field
A solid foundation in computer science with strong competencies in data structures, algorithms, and software design
Programming experience in Swift
⭐ Exceptional candidates will have...
Strong proficiency in Swift, with proven ability to build and maintain production-level applications
Strong technical knowledge of iOS mobile application development for iPhone/iPad using Swift with Cocoa Touch and related frameworks
Experience designing clean and maintainable APIs
Experience with multithreaded programming
Experience writing unit tests and testable code
Knowledge of iOS SDK performance tools and optimization techniques
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
¥804,949
—
¥1,088,971 CNY
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
Location: Bangalore
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary:
The Advanced Customer Engineer-Level 1 provides the second level of expertise and service to ensure all the Reltio customers get the best possible experience. This position requires an understanding of the Reltio application stack from the front end to the database layers and analysis of break-fix cases and the ability to efficiently investigate and resolve complex issues.
Job Duties and Responsibilities:
Develop and implement algorithms/techniques for solving problems in a high-volume and high-availability environment.
Take complete ownership of knowledge of Reltio Platform features, components, and integrations.
Build and implement scalable and accurate monitoring and metric tools and frameworks.
Analyze customer needs and software requirements to determine configuration accuracy in solving issues and incidents.
Provide quality technical support assistance, resulting in high customer satisfaction.
Monitor performance, stability, and consistency of the Platform to facilitate the delivery of well-rounded decision-making in connection with product development and delivery.
Resolve customer technical issues through collaboration, reproduction, UI/API/performance debugging, and troubleshooting.
Remain abreast of technological advancements to identify cutting-edge and new pragmatic approaches to building sustainable solutions, including applying pragmatic approaches to deliver solutions and fixes to critical customer-facing obstacles.
Provide alternate solutions and exercise independent judgment in developing methods, techniques, and evaluation criteria that lead to prompt resolution of issues.
Learn and keep up-to-date on the latest product functionality, dependencies, underlying architecture, and their operational impact.
Gain an understanding of MDM, NoSQL, Data structures, Service architecture, and System design through documentation.
Collaborate with support, product management, and core engineering team members to obtain information on project limitations, capabilities, performance requirements, and interfaces.
Represent Reltio in Customer meetings as an Engineering expert to provide clear and deep knowledge of customer issues and impacts.
Share and develop best practices with team members to enhance the quality and efficiency of customer support and contribute to the knowledge base.
Identify opportunities for continuous improvements to Reltio cloud-based platforms (AWS, CGP, and Azure).
Participate in a 24x7 on-call rotation and provide after-hours support for critical customer and platform issues.
Respond to high-priority incidents within established service level objectives.
Support
weekend shifts or /on a rotational and/or business-required basis.
Other duties and responsibilities as assigned.
Skills You Must Have:
Bachelor of Science degree in computer science or equivalent with 5+ years of experience.
2+ years developing on large-scale enterprise systems.
Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
Understanding of API design principles, authentication mechanisms, and integration.
Knowledge of web UI development with JavaScript frameworks.
Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.
Experience with NoSQL databases and distributed indexes.
Understanding of performance and profiling techniques of complex systems.
Hands-on analytical and troubleshooting skills.
2 years of experience developing Master Data Management (MDM) software with several full life cycle implementations in Reltio Cloud.
2 years of experience with enterprise-focused applications including data management, analytics, and big data platforms and technologies with MDM, AWS, GCP, Azure, Reltio Cloud.
2 years of experience configuring & validating the Comparator, Match tokens, Match & Merge setup, and survivorship rules in MDM on Reltio Cloud.
1 year of experience in using version-controlling software including Bitbucket, VSS, SVN for storing and promoting the code.
Skills That Are Nice to Have:
Bachelor of Science degree in computer science or equivalent experience.
Object oriented programming and designs, Data Structures and Algorithms.
Experience in data management, master data management, analytics, and big data platforms and technologies.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
УдалённоRomania
УдалённоIndia
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