ML Engineer Jobs in Switzerland.
All active ML Engineer roles based in Switzerland.
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Director of Platform Engineering
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The climate crisis is the defining challenge of our time—but it’s also the greatest opportunity for innovation, and a challenge we’re proud to take on. At Overstory, we’re harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving as our world changes.
The grid is the backbone of life as we know it. It powers hospitals, keeps food fresh, and ensures communities stay connected. But extreme weather, aging infrastructure, and growing wildfire risks are putting this critical system under pressure. All of this combined makes the electric utility industry the greatest opportunity for tackling climate change.
One of the leading causes of catastrophic wildfires and power outages? Trees and brush coming into contact with power lines.
That’s where we help. At Overstory, we use AI and advanced satellite imagery to pinpoint and prioritize vegetation risks before they materialize. By giving utilities critical analysis on those risks, we’re helping prevent outages, reduce wildfire risks, and accelerate the transition to a safer, more resilient grid.
Our team spans the Americas and Europe, and we work with utility partners across the Americas and beyond. We’re outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers. What unites us is a passion for solving complex problems, a commitment to climate action, and the belief that technology should be a force for good.
Join us to help us build a more resilient world together.
Role & Team
We’re looking for a Director of Platform & Infrastructure to own and evolve our core engineering foundations. Reporting to our VP of Product Engineering, this role will lead SRE, MLOps, and Platform teams with a mandate to create leverage across the entire organization.
As a scaling startup, we’re evolving from early-stage infrastructure to a more mature, reliable platform that can support rapid product development and growing customer demand. This role is critical in helping us make that transition — building systems, standards, and teams that enable speed today while laying the foundation for long-term scale.
Partnering closely with product, data, and application engineering teams, you will set the technical vision, define best practices, and ensure our infrastructure enables teams to move fast with confidence.
This is a highly cross-functional leadership role for someone who combines deep technical judgment with a systems mindset, strong people leadership, and a passion for building platforms that empower others.
Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)
What You'll Do
- Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals
- Grow senior ICs (and eventually manages) across multiple teams, fostering strong technical leadership and healthy team cultures
- Define and evolve our platform vision, including developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards
- Oversee MLOps systems that support model development, training, deployment, monitoring, and governance in production
- Partner cross-functionally with Product, ML, Data, Security, and Compliance to ensure the platform meets current and future needs
- Balance speed and stability, making thoughtful tradeoffs between innovation, cost, reliability, and operational excellence
- Set metrics and accountability for platform performance, reliability, and developer productivity
Skills & Experience
- 10+ years experience leading platform, infrastructure, or reliability teams in a scaling startup environment, including navigating ambiguity, rapid growth, and the transition from early-stage systems to more mature, repeatable platforms
- Strong understanding of cloud-native infrastructure (GCP strongly preferred), Kubernetes, CI/CD, and modern DevOps practices
- Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management
- A track record of building reliable, scalable systems used by fast-moving product teams
- Excellent people leadership skills — you know how to coach managers, grow talent, and build inclusive, high-performing teams
- Strong communication skills and the ability to influence across org boundaries
- Experience in data- or ML-heavy products
Nice To Have
- Experience with geospatial data, image processing or mapping technology
Note: We believe that all people are capable of great things. We encourage you to apply even if you do not meet all of the requirements that are listed within this job description.
What We Offer
- Competitive, location-specific compensation and benefits.
- Flexible, autonomous and collaborative working environment rooted in trust - we build our work days around our lives, not the other way around
- Home office stipend, coworking and ongoing education budgets
- A company culture that genuinely embodies each of our core values
- To be part of truly mission-driven work that reduces wildfires, protects earth’s natural resources and helps solve our climate crisis
About Our Team
We are a group of 100 people from all over the world. Fifteen nationalities are represented in our team and at last count we speak fourteen languages: English, Dutch, French, Spanish, German, Italian, Portuguese, Russian, Luxembourgish, Lithuanian, Bulgarian, Cantonese, Estonian, and Danish.
We work remotely from eleven countries and are looking for candidates that are living and working in one of them: United States, the Netherlands, United Kingdom, Ireland, Estonia, Portugal, France, Sweden, Switzerland, Denmark and Canada. We gather once a year in-person for our unforgettable team gathering event. We also offer the option to occasionally meet up for in-person collaboration.
Diversity & Inclusion
The climate crisis is a human crisis that requires diverse perspectives to solve.
We place enormous value on diversity and believe that the best ideas emerge when people with different backgrounds and experience work together. We remain committed to scaling a team that reflects the communities we serve, and strive to uphold equitable and inclusive practices across every aspect of our business. We are responsible for creating and maintaining a culture where everyone - regardless of background - has a voice in building a sustainable future.
Our Values
Tackling the climate crisis is our greatest mission.
We act with urgency.
Our curiosity fuels our growth.
We recognize that change is constant, and we find joy and power in exploration.
We’re rooted in diversity.
Just as ecosystems need biodiversity to thrive, our resiliency comes from our differences.
We care for each other.
We love the power of machines but we nurture each other as humans.
Trust is fundamental.
We assume the best in everyone, and we share ideas openly so that we have a positive impact.
_________________________________
Use of AI in Our Hiring Process
We sometimes use AI tools to support parts of our hiring process, such as helping us manage applications more efficiently or ensuring job descriptions are clear and inclusive. All hiring decisions are always made by people, not machines. Any data processed by AI is handled securely in line with GDPR and our Privacy Notice.
Ready to apply?
Apply to Overstory
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to ArtefactSenior AI Engineer / Technical Consultant
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Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to LinkedIn Job WrappingSenior AI Engineer / Technical Consultant
Share this job
Who is Artefact?
Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.
With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.
Main Responsibilities
As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.
-
Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.
-
Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).
-
DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).
-
Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.
-
Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.
Candidate Profile
Engineer first, consultant second — with a builder’s mindset and a track record of shipping.
- Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.
-
The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.
-
The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).
-
AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).
-
Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).
-
Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.
-
Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.
Nice to have
-
Experience with responsible AI/governance frameworks, security reviews, and cost optimization.
-
Domain experience in finance.
-
Contributions to open-source, publications, or conference talks.
Why Join Us
-
Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.
-
Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.
-
Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.
-
Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.
Location: Zurich
If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.
Ready to apply?
Apply to Welcome to the Jungle
Staff AI Engineer - Notebooks
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We're looking for a Staff Software Engineer with deep experience in AI/ML to join the Notebooks team. Datadog Notebooks provide a flexible tool for ad-hoc data analysis, collaborative investigations, and technical documentation. Its fluidity makes it an ideal surface for agents and humans to interact. The Notebook team is building AI-driven workflows for natural-language data analysis, assisted graph generation, automated investigations, and more. You will act as a technical leader in this domain, focused on building industry-leader AI-powered features. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features.
- Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products.
- Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability.
- Drive product direction with a strong user focus, always advocating for the best end-user experience.
- Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows.
- Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes.
- Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale AI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, and evaluation
- You are passionate about mentoring others and cultivating a high-performing engineering culture.
- You’re excited about leveraging AI tools to enhance how you code, solve problems, and build
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Generous and competitive benefits package
- New hire stock equity (RSUs) and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused best in class onboarding
- Internal mentor and cross-departmental buddy program
- Friendly and inclusive workplace culture
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Remote
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.
Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.
SUMMARY
As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.
WHAT YOU’LL DO
- Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
- Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
- Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
- Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
- Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.
WHAT YOU’LL BRING
- Ability to deliver world class demonstrations and training experience to our channel customers
- Mastered the technical sales process
- Thrive in a creative technical role assisting partners to build a technical business delivery model
- Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
- Ability to travel up to 40%
- Cloud security experience
- AWS/Azure/GCP hands on experience
- Network engineering experience
- Strong operating system, virtual machine, and container knowledge
- Knowledge of risk-based security assessments and frameworks
- Understanding of cloud identity, access, certificates, and keys
WHAT IS NICE TO HAVE
- Experience with traditional CSPM tools
- SaaS experience
- Awareness of the CI/CD process
- Familiarity with Infrastructure as Code
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Ready to apply?
Apply to Wiz, Inc.
IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.
As a Python Software Engineer, you will work closely with our trading and engineering teams on a variety of applications, tools and automation projects. You’ll be placed in an environment consisting primarily of a large Python analysis ecosystem drawing data from various sources including our own trading systems. You’ll build analysis & visualisation tools at the heart of the business logic, in close collaboration with the traders who use them. Your work involves both interpreting ideas, coming up with your own, and efficiently implementing these into tools that are reliable, scalable and performant.
Together with traders, researchers and engineers, you deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable and scalable software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between throughput, simplicity, scalability and maintainability.
Your Core Responsibilities:
- Collaborate closely with researchers, and engineers to deliver challenging projects.
- Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research.
- Curate, transform, and present data in clear, accessible formats for traders and researchers.
- Take ownership of end-to-end product development, from requirements gathering to production deployment
- Navigate a complex landscape of diverse systems and technologies, making informed trade-offs between throughput, simplicity, scalability, and maintainability
Your Skills and Experience:
- Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
- 2–3 years of professional Python development experience
- solid computer science knowledge, has experience or capability to quickly adapt to additional languages such as Java, Scala, C++, Go, etc.
- Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
- Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively.
- Experience with orchestration and containerization tools like Kubernetes and Docker is a plus.
- Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial.
Location and Office Culture:
- IMC office in Zug, Switzerland
- Note that this is an onsite role, with some but limited flexibility for working from home
- You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
- One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
- We give people lots of responsibility and the support they need to make an impact from day one
- We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC
IMC has a strong presence in traditional Finance and has been expanding into Crypto and DeFi over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols.
As a C++ Software Engineer, you‘ll be joining and shaping the future of our core engineering team. You will design, code, test, and optimize our proprietary, low-latency trading system. The right candidate for this role will be comfortable working autonomously, making decisions, and working in a fast-paced, flat team structure.
Your Core Responsibilities:
- Collaborate on developing our highly competitive, ultra-low-latency trading platform consisting of market data delivery and order submission subsystems
- Design and implement state-of-the-art, industry-leading trade execution and connectivity solutions
- You will be part of our algorithmic trading strategies team that is responsible for all automated trading algorithms so that your experience and knowledge will have direct impact on our production
- Improve the system performance by optimizing network access, hardware utilization, and programming execution
- Stay on top of updates to exchange protocols
Your Skills and Experience:
- You have a Master’s or Ph.D. degree in Computer Science, Mathematics, Physics or a related field
- You have excellent programming skills using C++ in a Linux (or Unix-like) environment
- You possess the ability and desire to write simple, well-structured and clean code that is easy to maintain
- You have in-depth knowledge of low-level network and system programming and have ideally experience in developing low-latency systems
- You have a solid grasp of computer science, algorithms, memory-, and concurrency models, CPU-architecture, operating systems, networks, and performance optimization
- Experience in statistics, large-scale data processing systems, machine learning and/or grid-based computing is a big plus
- No finance background is necessary or expected
Location and Office Culture
- IMC office in Zug, Switzerland
- Note that this is an onsite role, with some but limited flexibility for working from home
- You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
- One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
- We give people lots of responsibility and the support they need to make an impact from day one
- We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
Ready to apply?
Apply to IMC