Scandit Zürich

Senior Computer Vision Engineer

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows. It provides actionable insights to help businesses in a variety of industries. Join us as we continue to expand, grow, innovate, and help take Scandit to the next level.

We are now building a new generation of technology for retail: a computer vision–driven system that helps retailers to increase their profit margins through better operational insight and automation. As a Senior Computer Vision Engineer, you will play a leading role in taking this product from 0 to 1, owning key technical decisions and delivering production-grade vision capabilities end to end.

You will own the technical direction for action recognition in real‑world retail environments: from defining how we collect and annotate video data, to prototyping and evaluating models, to iterating on precision, recall and end-to-end alert latency under production‑like conditions. You'll work closely with product, data, and engineering stakeholders to validate the riskiest assumptions quickly and cost‑effectively.

If you enjoy turning ambiguous, high‑impact problems into working ML products – and have experience building commercial computer vision systems for action recognition, autonomous checkout, worker safety, or similar applications – we'd love to talk.

About the role

As a Senior Computer Vision Engineer, you will be responsible for leading the technical discovery and early development of Scandit's new solution – from validating the riskiest assumptions to building and iterating on the first end-to-end prototypes. You will work closely with product, other engineering teams, and external stakeholders to turn real-world video data into robust, privacy-aware computer vision models that can operate in live retail environments.

This role connects cutting-edge CV/ML research with real-world product constraints – requiring both deep technical expertise and a pragmatic, experimental approach to building production-ready systems under ambiguity and time pressure.

What you will do

• Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall, latency) for computer vision models in retail stores
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment
• Setting up and refining the human annotation workflow to create high-quality training and test datasets from video streams
• Collaborating with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps
• Selecting, adapting, and optimizing state-of-the-art computer vision architectures for suspicious behavior and action detection in unconstrained environments
• Providing technical leadership in the space of video-based computer vision applications, helping shape best practices and future hiring for the team

Who you are

We are looking for a senior computer vision / machine learning engineer who has successfully built and shipped real-world products, ideally involving action recognition on video. You combine deep hands-on technical expertise with a pragmatic, experimental mindset and are comfortable working in a high-ambiguity, 0→1 product environment. You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions.

• University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production
• Proven track record of building end-to-end CV/ML systems from 0→1 (ideally commercial products rather than purely academic projects)
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g. retail, autonomous checkout or similar domains)
• Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• Ability to work in a dynamic, high-uncertainty environment, prioritize experiments, and iterate quickly on technical approaches
• Ability to collaborate effectively with cross-functional teams (e.g. product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)
• Eligible to work in the hiring location

Nice to have:

• Experience with privacy-aware or GDPR-compliant data pipelines, especially for video data
• Background in building or selecting annotation tools and workflows for computer vision training data
• Prior work on retail, autonomous stores using computer vision

What we offer

Here are just some of the reasons why people choose to build their careers at Scandit:

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Hackathons 
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings 
• Festive/end of year all company celebrations 
• Your birthday off 
• An attractive individual equity plan in a high growth company 
• We are certified as a “Great Place to Work” in 7 countries!
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London.
• Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
• Specific benefits related to the location you are joining

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applicants will receive consideration for employment without regard to race, color, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

Imagine the What. Build the How.

Overview

The Esri R&D Center-Zurich is seeking skilled and creative interns to work on challenging projects that consist of the research and development of early-stage prototype software or methods (several interesting work topics are available). These internships are a great opportunity to gain professional work experience in a leading-edge technology environment. This is a five- or six-month full-time, paid internship available with two weeks of vacation.

What We Do

At the Esri R&D Center-Zurich, we develop web, desktop, and game engine-based software applications for GIS (Geographic Information System), urban planning, and architectural design. The applications are 3D graphics heavy, and their CI/CD setups include intricate system tests, such as screenshot testing. The CI/CD runs on top of an in-house DevOps platform-as-a-service (PaaS), which integrates with a global infrastructure that allows us to deliver high-quality software to millions of users.

What We Offer

We are a dynamic and enthusiastic international team that is driven by the pursuit of using state-of-the-art methods and technologies to develop and deliver excellent products:

• Passionate and supportive working culture
• Emphasis on team and personal growth through training and team development events
• Strong focus on company culture: appreciative, compassionate communication, enabling and embracing diversity
• 40-hour work week with flexible working hours
• Competitive salary
• Fun team activities

We are part of Esri Inc, a global organization based in California focused on GIS and spatial analytics to enable global change.

Responsibilities

• Select or define a focused internship project in the area of 3D Web GIS (spatial analysis, web cartography, web apps), or UI/UX design
• Research the state of the art on the topic and study real-world use cases
• Propose a design and work plan and discuss it with your supervisor and colleagues
• Start implementing the work plan and share results with the team as you go
• Document the finished work, make showcase videos, and present it to the team.
• Optional: contribute to the daily development tasks in one of our Scrum product teams (as additional side track)

Requirements

• Experience with web development
• Background in UI/UX design
• Interest in (contributing to) open source
• Self-initiative, responsible, self-controlled, and self-motivating
• Good verbal and written skills in English and/or German
• BSc or MSc in computer science, architecture, GIS, or UI/UX design (completion or final year of study)
• Existing work authorization for Switzerland

Recommended Qualifications

• Experience with Esri's ArcGIS product suite
• Interest in street design, urban planning, civil engineering, or architecture.

#LI-JO1

The Role

We are seeking an experienced Quantitative Trader to join the team at Schonfeld in Zurich. The ideal candidate will blend rigorous macroeconomic insight with hands-on quantitative trading experience across credit, rates, and related derivatives. You will develop and maintain systematic models, collaborate closely with Portfolio Managers on trade ideas and risk, and leverage your network of sell-side economists and strategists to stay ahead of market trends.

What You’ll Do 

• Design, code, and maintain systematic and semi-systematic trading models spanning corporate bonds, credit ETFs, CDS indices, equity / vol cross-asset overlays and curve-relative value strategies.
• Build data pipelines, back-testing frameworks, and real-time risk / P&L dashboards in Python / C++ for fixed-income and multi-asset products.
• Conduct deep-dive macro research—integrating fundamentals, flow data, and machine-learning techniques—to generate high-conviction trade ideas.
• Produce concise macroeconomic briefs for Portfolio Managers, distilling complex drivers such as global rates cycles, credit spread dynamics, liquidity, and volatility regimes.
• Partner with Technology and Risk to refine execution algos, hedging rules, and portfolio-trading workflows.

What You’ll Bring

• 10+ years’ experience in macroeconomic research, credit volatility trading, and cross-asset systematic strategy design.
• Experience working at global top-tier multi-manager hedge fund and leading sell-side algo / ETF desks.
• Proven track record building and calibrating complex economic / financial models—mean-reversion, momentum, convexity, liquidity, and relative-value frameworks.
• Advanced programming skills: Python, C++, SQL; working knowledge of R / MATLAB and VBA-Excel.
• Work experience in credit indices (CDX / iTraxx), bond / ETF micro-structure, and derivatives greeks / risk.
• Strong written and verbal communication skills—able to translate quantitative outputs into clear investment theses.
• Master’s in Finance from a top-tier university and a Bachelor’s degree in a STEM discipline.
• Passed CFA Level I examination.

Who We Are  
Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 9 countries and 19 offices.

Our Culture
Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all our employees. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

#LI-DNI

📍 Zürich, CH (Hybrid)  📅 Start: June 2026

🚀 Help make sustainable investing mainstream!

At Inyova, we’re transforming the way people invest by making impact investing accessible to everyone. Through our platform, people can invest in companies that support causes they care about – from sustainability to gender equity – without compromising returns.

We are looking for a Marketing & Impact Copywriting Intern who is passionate about storytelling, sustainability, and creating engaging content that inspires people to become impact investors. If you thrive in a fast-paced, mission-driven startup environment and want to make a real difference, this role is for you!

🔹 Your role

You will work closely with our Marketing & Impact team to research, write, and create compelling stories about sustainability and responsible investing. Your mission is to engage, educate, and inspire our audience through powerful content we push out through our best-converting channels.

What you’ll work on

✅ Storytelling & content creation – Learn how to craft engaging stories about impact investing, companies in our portfolio, and our active ownership initiatives.
✅ Multi-channel content – Create high-quality articles for Inyova and our partners, blog posts, videos, social media content, and emails that resonate with our community.
✅ Impact research – Get hands-on experience diving into company reports, sustainability data, and market trends to support content creation
✅ Marketing & Impact strategy – Collaborate on key impact campaigns and work across various marketing channels to grow the movement for sustainable investing while building your finance knowledge.
✅ Creative ownership – Bring your ideas to the table and take initiative in a supportive learning environment where your contributions are valued.

🔹 Your profile

What you have

✔️ Excellent communication skills – you write fluently in German and English (native level). This is a must-have requirement.

✔️ A passion for sustainability – you care deeply about making a positive impact. Deep knowledge on sustainability trends is a plus.
✔️ A knack for storytelling – you want to turn complex topics into engaging and accessible content.
✔️ Enthusiasm for content creation – you love great content and can show us with examples of work, academic projects, or a personal blog/social media presence.
✔️ Curiosity & research skills – you love digging into data, reports, and trends to craft compelling stories.
✔️ A proactive, independent work style – you take initiative while being open to feedback and mentorship.
✔️ Studying or recently graduated in Journalism, Sustainability, Business, or a related field – or equivalent practical experience.
✔️ Tech-savviness – comfortable with common office tools (Google Suite, MS Office, LLMs) – but don’t worry, we’ll show you the ropes!.

💡 Bonus: Experience in marketing, social media, or video content creation.

🔹 What we offer

✨ A mission-driven startup experience – help shape the future of impact investing!
✨ Creative freedom & ownership – your ideas and contributions will be valued.
✨ Hands-on coaching & learning opportunities – grow your skills with guidance from our leadership team and content experts.
✨ A fun, collaborative work environment – inspiring colleagues, team events, paid lunch-clubs and a supportive culture.
✨ Attractive compensation package – including commuting cost reimbursement & access to development budget.
✨ Flexible working options – hybrid work from Zürich, CH.
✨ 15 days of paid vacation during the 6 months internship.

👩‍💼 Diversity & inclusion

Women and people from underrepresented backgrounds often hesitate to apply unless they meet 100% of the criteria. If you believe you can make an impact in this role, we encourage you to apply – even if you don’t check every single box.

📌 The details

📍 Workload: 100%
📍 Start Date: June 2026 (6-month internship)
📍 Location:  Zürich, CH (Hybrid)
📍 Salary: CHF 2'500

🚀 Excited to make an impact? Apply now!

Senior Machine Learning Engineer (Computer Vision)

Scandit gives people superpowers. Whether enabling delivery drivers to make quicker deliveries, matching a patient with their medication, or allowing retailers to make store operations more efficient, our technology automates workflows and provides actionable insights to help businesses in a variety of industries. Join us, as we continue to expand, grow and innovate, and help take Scandit to the next level.

About the role

We are looking for a new colleague to join the Label Capture team and work on creating digital twins of complex labels and identification documents. You will be responsible for evolving our current product by adding new features and optimizing the existing offering. You will work on computer vision and deep learning algorithms to improve information extraction from printed documents beyond state of the art.

If these challenges sound interesting to you, we’d love to hear from you!

What you will do

• Driving and solving semantic document parsing for our customer use cases
• Be involved hands on in all phases of end to end quality improvements (defining and tracking metrics, prototyping, testing, integration of existing models, creation of new models, data collection, analysis, debugging)
• Stay up to date with the latest research in document classification, text recognition and information extraction
• Set direction and identify opportunities to push boundaries of recognition
• Mentoring team members on code quality and engineering practices

Who you are 

You are a senior ML engineer who is passionate about building, shipping, and improving machine learning-powered systems. You have a proven track record of delivering state-of-the-art computer vision systems both on-device and on cloud and firsthand experience bringing them from the prototyping stage to production.

You recognize that software development encompasses both technology and human interaction and feel comfortable working independently or on a team. While you stay on top of the state-of-the-art in CV/ML, you value proven technologies and small increments. You are creative and determined to solve real-world problems by thinking outside the box and making an impact. You thrive on tackling open problems, taking ownership, and effectively overcoming obstacles. You pay attention to details and at the same time are able to take pragmatic shortcuts to reach our goals.

In particular, we are excited to hear from you if the following sounds like you:

• 5+ years of experience solving recognition problems in the industry with a proven track record of launched products
• Fluency in C++ and Python
• Running ML models on mobile devices
• Experience with relevant machine learning frameworks (Pytorch, Jax, Tensorflow)
• Skilled in software design, problem-solving, and debugging
• Experience in computer vision systems extracting information from printed documents or experience with fine-tuning of vision-language models is a plus

What we offer

Here are just some of the reasons why people choose to build their career at Scandit: 

• A highly skilled team and a fun environment where you can put your enthusiasm for cutting-edge technologies to use
• Hackathons 
• Flexible, office, hybrid or home working
• People-first culture
• Global team outings 
• Festive/end of year all company celebrations 
• Your birthday off 
• An attractive individual equity plan in a growth company 
• We are certified as a “Great Place to Work” in 7 countries!
• Excellent office infrastructure, optimized for hybrid working in Zurich, Warsaw, Tampere, and London
• Excellent support for remote work across Switzerland, Finland, Poland, UK, Italy and Germany
• Specific benefits related to the location you are joining

Who We Are

Scandit enables enterprises and consumers to change the way they interact with everyday objects and augment the physical world with real-time data captured by scanning barcodes and recognizing text, objects, and other visual identifiers using smartphones, tablets, wearables, drones and robots.

Scandit’s mobile data capture platform is built on proprietary computer vision, augmented reality, and machine learning technologies. Companies in industries such as retail, transportation & logistics, manufacturing, and healthcare can use Scandit’s technology to create and power mobile apps for crucial enterprise workflows like mobile point of sale, mobile shopping, self-checkout, inventory management, and proof of delivery.

Many of the world’s most innovative and successful companies are benefiting from Scandit’s enterprise-grade mobile data capture platform, including Sephora, Nissan, DHL, and Levi Strauss & Co.

Scandit was founded by a group of researchers from ETH Zurich and MIT. The company is headquartered in Zurich and is also represented in Boston, London, Warsaw, Tokyo and Tampere. Over the years, our company has evolved into a world-class team of mobile image processing, cloud-computing and “Internet of Things” experts from around the globe and has most recently also opened an office in Tampere, Finland.

“Everybody is welcome here” - Is a celebrated component of our DNA.

At Scandit we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be a safe space for all.

All qualified applications will receive consideration for employment without regard to race, colour, nationality, religion, sexual orientation, gender, gender identity, age, physical [dis]ability or length of time spent unemployed.

#LI-MB1

#engineering

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

Are you a visionary Paid Search leader with a proven track record of driving tangible revenue and market share growth? Do you thrive on the thrill of the pitch and the satisfaction of expanding client portfolios? We're seeking a dynamic Paid Search leader to ignite our presence in EMEA, transforming our Paid Search discipline into a powerhouse of growth, innovation, people happiness, and client success.

You will serve as a thought leader, shaping a forward-thinking vision for Paid Search across EMEA while driving growth in this service area. You will lead the charge in evolving our Search discipline in a rapidly evolving and disrupting ecosystem. You won't just keep up with Google’s AI shifts; you will proactively integrate generative AI across platforms into our daily operations to redefine what 'performance' looks like in an AI-first world.

You will lead a team of currently 50 across EMEA and give support by removing blockers and ensuring they have access to the right tools and knowledge. Your goal is to empower every consultant/lead, giving them the confidence to deliver high-quality projects and tasks.

WHAT YOU’LL DO:

• Take a strategic lead in the overall performance, profitability, and long-term business growth of our Paid Search discipline across EMEA
• Accelerate and drive the transition from traditional Paid Search management to AI-driven accounts.
• Be a key player in new business efforts, actively engaging in pitches, refining our sales narratives, and collaborating closely with our new business department to secure and expand our client base. 
• Establish the right organisational set-up of the Paid Search teams to ensure quality and performance across EMEA; 
• Drive adoption of the right tech and tooling, alongside ensuring we have a data-led approach across all accounts
• Coach and mentor our Paid Search Leads and empower every consultant to deliver high-impact, business-driven Paid Search projects.
• Make sure the Paid Search team has an innovative mindset and is a first mover in adopting new technology and advertising solutions. Recognized in the industry by winning awards;
• Oversee top Paid Search clients and drive innovation, project growth, and excellence in delivery.
• Spend at least 60% of time on projects or sales initiatives
• Enable and boost x-craft collaboration, bringing our Paid Search activities and offerings closer together with adjacent crafts, such as Content, Data, AI, Organic Search and Social.
• Ensure an agile development of our Paid Search proposition, aligning product-market fit and traction with the right target clients.
• Encourages knowledge sharing and best practices between teams within EMEA.

WHAT YOU BRING:

• Have at least 10 years of experience in Paid Search.
• Are highly autonomous and proactive, demonstrating the ability to own complex projects and make significant decisions with minimal oversight.
• You have a deep curiosity for AI and machine learning. You don't just follow trends; you understand how to apply tools.
• Have a significant focus on business development, a successful track record with pitching, and client relationship management. You genuinely love the sales process.
• Have broader digital marketing knowledge (Social, Display, Content Marketing, Data etc.).
• Have experience with, and gain a lot of energy from, guiding other people and leading leaders.
• Are analytical, flexible, and able to work independently.
• Have great communication skills (verbal and written) and the ability to persuade.
• Are ambitious, results-oriented, and know how to plan and organise.
• Are fluent in English.

WE OFFER
Please note that benefits may vary by location. Feel free to reach out to your recruiter for more details.

• • Hybrid working policy
  • Stay happy and healthy with a contribution to your health through the OpenUp platform, and a multisport programme;
  • A reputation for doing good. DEPT® has been a Certified B Corp® since 2021.
  • Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
  • The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
  • Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

At Inceptive, you will drive forward development that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

The design space of biomolecules is unimaginably vast — far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.

We advance the state of the art in molecular design by training large-scale foundation models and developing cutting edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.

You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.

Your Mission, should you choose to accept it

• Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise
• Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design
• Analyze, visualize, and communicate results to support team efforts in improving models and data
• Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production
• Work with biologists to collect data for the training and evaluation of generative models of biomolecules
• Provide mentorship and technical direction to team members as appropriate

Qualifications

• 3+ years of hands-on experience developing ML models
• Demonstrated track record of implementing, training, improving advanced machine learning models
• Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework
• Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and expect candidates to primarily work from our office locations

Preferred technical skills

• PhD in AI/ML, computer science, computational biology, physics, or a related field, or equivalent practical experience (e.g., industry experience, research, or advanced technical expertise)
• Strong skills in designing, executing, and documenting machine learning experiments
• Practical experience with modern generative models
• Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration
• Experience with large-scale model training, foundation models, model parallelism, multi-node training
• Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc
• Knowledge of biochemistry, molecular/cell biology, and drug development

Compensation

$200K – $275K + Bonus + Equity

At Inceptive, you will drive research forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software.

If our team of scientists, deep learning researchers, engineers, and entrepreneurs sounds like home to you, please tell us what you would contribute in your application.

We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations

Please note that our Open Apply is global and you may apply from any location.

Qualifications

• Availability to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET
• Readiness to travel several times a year for company retreats and business events
• We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations

Compensation

$105K – $240K + Bonus + Equity