Software Architect/Solution Architect/CTO

Are you looking to work in the cutting edge area of applying data-science to help global customers get a better insight into their health? If so, read on and apply.

Role Name: Senior Data Scientist

Science Team | Full-Time | In-Office | Bangalore

The Role

The Ultrahuman Science Team builds the algorithms behind the Ring, M1 CGM, blood and urine biomarkers, and Performance Lab assessments. We are hiring a Senior Data Scientist to own those algorithms end to end: from the raw sensor signal to a model that is shipped, monitored, and trusted in users' hands.

This is a build role with real scope. In a typical month you will improve a production algorithm, root-cause a metric users are complaining about, and stand up the data pipeline the next model needs. The common thread is ownership: you take a vague question and return a working answer, without waiting to be handed scope.

What You'll Do

·      Own algorithms end to end: sleep staging, activity detection, sensor-derived metrics, and health scores. You frame the problem, build the features, train and evaluate the model, and see it live

·      Ship models, not notebooks: you prove a change on our own cohort before it reaches users, and a model is done only when it runs in production and you can tell how it is behaving

·      Validate against reference standards: design evaluations against gold standards, reference devices, and study ground truth, and know when a result is real and when it is an artifact

·      Own the data layer: cohort extraction, feature pipelines, study data, and raw sensor data, so the next model starts from clean inputs

What This Looks Like in Practice

1. Improving production algorithms - Take an existing production model like sleep staging, root-cause the failure modes against reference data, and ship a fix you can defend with numbers.

2. Building new models - Train an activity classifier on raw sensor data, design the labeled data collection that expands it, and pick the operating point so false positives never erode trust.

3. Proving it before it ships - Run a new steps algorithm against reference-device cohorts, decide with data when it is ready, and monitor how it behaves after rollout.

Who You Are

The two things we can't coach

·      High ownership, end to end: you take a problem from a vague question to a shipped model without waiting to be handed scope, and you can point to something you owned from raw data all the way to production

·      Hungry for more scope: you have outgrown your current role and want problems biggerthan your title, with the technical depth to be trusted with them

Also important

·      You've worked with human health data: wearables, physiological signals, or clinical data.

If your experience is close but not exact, show us why you will ramp fast

·      You've built at a startup: or somewhere small enough that nobody handed you clean data, clear specs, or a mature ML platform

·      You work like it's 2026: coding agents and AI tooling are part of how you build every day, and you can tell which new capabilities are worth adopting

·      You communicate: you can explain a model and its limits to a product manager, an engineer, or a founder, and hold your own with our scientists Core Technical Skills

·      Languages and data: Python and SQL daily, comfortable working in a real codebase

·      Machine learning: PyTorch or TensorFlow, scikit-learn, and gradient boosting, with the judgment to know which the problem needs

·      Advanced machine learning: time series and sequence models, deep learning on continuous physiological signals, and ensembles

·      Statistics and evaluation: hypothesis testing, experiment and A/B design, model evaluation, and error analysis against a reference standard

·      Scale and cloud: Spark or equivalent on large datasets, and AWS, GCP, or Azure

·      Production ML and MLOps: training pipelines, model versioning, deployment, monitoring, and drift detection

·      LLMs and agentic systems: fine-tuning and serving models, building agentic pipelines, and using coding agents to move faster

Experience:

- 4 to 5 years building and shipping machine learning systems. We index on what you have shipped and on trajectory, not the exact number of years; if you are a little earlier but have clearly outgrown your current scope, we want to hear from you.

- Bachelor's or higher in engineering, computer science, statistics, or a related field.

How We Work and Who Thrives Here

- The Science team is small and moves fast, and much of the work has no precedent to copy.

- People do their best work here when they are energized by ambiguity, low on ego, quick to adopt a better idea no matter where it comes from, and comfortable owning something before anyone has told them how. If you need a mature data org, clean labelled datasets, and clear guardrails to thrive, this particular role will not be the right fit, and that is worth knowing up front.

What You'll Gain

·      Ownership of algorithms that hundreds of thousands of people see every morning

·      A dataset most scientists never get to touch: 100M+ nights of sleep and continuous physiological signals at scale

·      Direct collaboration with the engineering, product, and design teams building Ultrahuman

The Role:

Candidates Should be able to Create user information solutions by developing, implementing, and maintaining Java based components and interfaces.

Responsibility:

● Defines site objectives by analyzing user requirements; envisioning system features and functionality.

● Integrates applications by designing database architecture and server scripting; studying and establishing connectivity with network systems, search engines, and information servers.

● Enhances organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments.

Requirement:

● 5+ Years of Software development experience in Java Programming.

● Having knowledge on Scala will be added advantage.

● Excellent core Java programming skills including multi-threading

● Design, Develop, build enterprise applications using Java and associated technologies

● Expert level knowledge in Spring Boot (includes spring core, spring web MVC/Webflux)

● Restful web service architecture and API management

● Solid foundation in data structures, algorithms, and software design NoSQL systems such as MongoDB, Redis

● Experience in Mysql will be an added advantage.

● Deep understanding of the project lifecycle process, able to define a comprehensive solution leading towards a common vision.

Responsibilities

• Mentoring Team of Juniors, Code Reviews, and System Design Understanding
• Design and develop APIs using NodeJs, TypeScript, and deployment using the CICD pipeline.
• Apply code reviews and development quality reviews to make sure best practices are implemented
• Expertise with MySQL including the design of schemas and development for these databases
• Understanding of System Architectures, Design Patterns, and SOLID Principles
• Knowledge of git-based workflows such as git-flow, Proficient with code editors & linting tools

Requirements

• 2+ years of development experience with NodeJS, and Javascript frameworks related to the web stack
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent communication skills, verbal and written

Good to have

• Experience with AWS Microservices
• Experience with payment gateways
• Exposure to AWS Services, policies, and the DevOps pipeline is a plus.
• Expertise with React, Redux, Hooks, and its core principles

Description:

We are looking for an organized, detail-oriented individual to join our team as a software product manager. The responsibilities of the software project manager include overseeing software projects from start to finish, managing and motivating software developers and other team members, giving customer presentations, and writing project proposals.

To be successful as a software project manager, you should have a good working knowledge of project estimation techniques and the ability to motivate team members. Ultimately, a top-notch software Product manager should have good communication and decision-making skills.

Responsibilities:

1.Discussing potential projects and their parameters with clients, executives, and software developers.

2.Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.

3.Assembling and leading the project team.

4.Participating in and supervising each stage of the project.

5.Ensuring each project stays on schedule and adheres to the deadlines.

6.Creating a project budget and ensuring the project adheres to the budget as closely as possible.

7.Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.

8.Tracking milestones, deliverables, and change requests.

9.Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.

10.Delivering completed software products to clients and performing regular checks on the products' performance.

11.Software Project Manager Requirements

12.A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.

13.Proven experience in project management and software development.

14.Good working knowledge of project estimation techniques.

15.Excellent technical knowledge.

16.Good leadership, decision-making, and organization skills.

17.Strong attention to detail and multi-tasking skills.

Qualification:

1. Minimum ten (10) years of total work experience in software development
2. Good technical proficiency with PHP, Laravel, Javascript technologies and its related framework
3. Strong knowledge on AWS
4. Experience in Data collection, management and analysis
5. Experience in MYSQL/Maria DB
6. Knowledge in SaaS architecture

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects