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.

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.

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.

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

Company Overview:
Dialectic, a crypto-native organization of builders and capital advisors, is seeking a Data Science intern to join the team on a full-time basis. This is a great opportunity to join a dynamic and fast-growing team, focused on investing in and building compelling software in emerging crypto and blockchain technologies. We produce outlier results through a series of diversified investment strategies in the decentralized finance ecosystem.

Job Summary:
We are offering a Data Science Internship for a person with strong skills who can perform deep quantitative analysis that informs capital deployment decisions and furthers our research into topics such as risk management, portfolio optimization, and market analysis.

Key Responsibilities:

• Sourcing, compiling, cleaning, and analyzing data across a range of markets.
• Analyze existing datasets to identify trends and biases.
• Demonstrating findings to the investment team and CIO through thoughtful data visualization.
• Building out and maintaining datasets of consolidated information, especially with respect to opaque markets.
• Tailor traditional portfolio optimization methods to a DeFi yielding book.
• Participate in the discussions of the investment committee about capital allocation decisions.
• Work closely with the Software team to automate data collection and analysis processes.

Key Requirements:

• Experience with machine learning & statistical analysis methods.
• Strong Interest in the Cryptocurrency and especially DeFi space.
• Background in finance or computer/data science with a deep understanding of financial markets.
• Entrepreneurial mindset, be independent and be flexible.
• Development skills in Python.
• Skills in other languages, such as Rust and Solidity, would be considered a strong asset.
• Knowledge of database software tools, quantitative analysis, and data visualization.
• An understanding of the crypto markets and the web3 industry.
• Ability to find and clean data with respect to opaque markets.
• Advanced data visualization skills would be considered a strong asset.
• Self-motivated, disciplined, and detail-oriented.

Benefits:
Dialectic offers an exceptional work culture:

• Dynamic and collegiality in a small team working in fields that are shaping the future of our society
• As a modern employer, we offer you contemporary working conditions, a lot of space to develop yourself alongside the company as well as exciting and challenging projects
• Compelling compensation, bonus, and participation opportunities
• Exposure to extremely talented people and very interesting clients who have unique investment profiles
• Supportive work and team atmosphere with flat hierarchies and a strong entrepreneurial spirit.
• Dialectic is an equal-opportunity employer with a strong diversity of ideas.

Company Overview:
Dialectic, a crypto-native organization of builders and capital advisors, is seeking a Developer intern to join the team on a full-time basis. This is a great opportunity to join a dynamic and fast-growing team, focused on investing in and building compelling software in emerging crypto and blockchain technologies. We produce outlier results through a series of diversified investment strategies in the decentralized finance ecosystem.

Job Summary:
We are offering a Developer Internship focused on Blockchain Applications for a person with strong skills who can support development activities across our stack - building backend tooling, connectors to on-chain systems, and data pipelines that feed our DeFi yielding strategies and inform capital deployment decisions. This position is part of a small and dynamic team, with the ability to shape and impact technical decisions and direction.

Key Responsibilities:

• Develop Backend Tooling and Services in Rust
• Work closely with the Yielding team to develop strategies
• Build connectors to Smart Contract systems
• Support the team with insights and best practices

Key Requirements:

• Software development experience, including in Rust
• Experience in the Ethereum ecosystem
• Experience with Solana VM and Rust-based smart contracts is a plus
• Familiarity with Rust Ethereum libraries (ethers, alloy, foundry)
• Entrepreneurial mindset - independent, flexible, and self-directed.
• Self-motivated, disciplined, and detail-oriented; strong work ethic and team player.
• Use of AI tools/knowledge of how to utilize them to maximize efficiency.

Nice-to-haves:

• Experience with Solana VM and Rust-based smart contracts.
• Familiarity with Rust Ethereum libraries (ethers, alloy, foundry).
• Experience with machine learning and statistical analysis methods.
• Knowledge of database software tools, quantitative analysis, and data visualization.
• Solidity experience or smart-contract reading ability.
• Advanced data visualization skills.

Benefits:
Dialectic offers an exceptional work culture:

• Dynamic and collegiality in a small team working in fields that are shaping the future of our society.
• As a modern employer, we offer you contemporary working conditions, ample opportunities to develop alongside the company, and exciting and challenging projects.
• Compelling compensation, bonus, and participation opportunities.
• Exposure to extremely talented people and very interesting clients who have unique investment profiles.
• Supportive work and team atmosphere with flat hierarchies and a strong entrepreneurial spirit.
• Dialectic is an equal-opportunity employer with a strong diversity of ideas.

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

Role & Team

As a Data Engineering Manager, you will lead across several cross-functional teams, managing up to ~10 data engineers and GIS specialists. You will support teams working on data processing and pipelines to enable ML-powered product capabilities.

Our product teams are cross functional and will typically include product managers, designers, engineers and subject matter experts relating to the team’s domain.

You will be accountable for the technical direction and delivery outcomes of your area. You will challenge your teams to pursue ambitious goals while providing a high level of support — growing engineering talent and fostering a highly collaborative, team-based environment where people can do great work.

Your primary focus will be on building high-performing teams and driving results through others. You will not be expected to spend significant time doing hands-on coding; however, you will be expected to dive deep technically when required and leverage your experience to support strong technical decision-making.

Time zone requirement: Europe (GMT/WET, CET, EET) and Eastern North America (NST, AST, EST)

What You'll Do

• Enable our data engineers to become highly productive members of their cross-functional teams, empowering them to ship high-quality, reliable data platforms and pipelines on a daily basis.
• Grow the teams by attracting great talent from your network.
• Foster an inclusive and caring culture where everyone can do their best work.
• Provide regular 1:1 coaching and feedback to tap into the potential of all your team members and help them thrive and reach their aspirations.
• Be a strategic partner to product managers, machine learning engineers, and other stakeholders within your domains and ensure that we are making the correct data architecture and platform decisions that balance short and long term goals.
• Ensure suitability of the data architecture, pipelines, and data models within your domains to enable longer term product, analytics, and machine learning goals.
• Work closely with the other Product & Engineering leaders on strategy, technology and people, including improving our data engineering practices and introducing capabilities that can accelerate data access, reliability, and unlock new product and data-driven opportunities

Skills & Experience

• Experience working in a high growth scaleup environment
• Passionate about climate
• Product minded and able to demonstrate significant impact you have had on a business through the application of data platforms and data-driven systems
• 2+ years experience leading and managing data engineers across multiple teams
• Experience working with the following (or similar) technologies: Python, SQL, data pipeline orchestration tools (e.g., Airflow, Dagster), data warehouses/lakehouses, Postgres DB, data pipelines
• Ability to unblock your team by contributing at a senior engineering level (e.g., reviewing data models, debugging pipelines, guiding architecture). How hands-on you'll be in this role will depend on team size and maturity
• Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s) - or similar, with an understanding of data reliability, observability, and pipeline operations
• Strong leadership skills with the ability to mentor and coach engineers at all levels
• Excellent communication skills and ability to collaborate effectively in a cross-functional team environment
• Passion for learning and staying updated with evolving technologies and industry trends, particularly in data engineering and data infrastructure

Nice To Have

• Experience working with maps/imagery/geospatial domains  

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

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

The Dataiku Senior Customer Success Manager is responsible for serving a portfolio of large enterprise accounts for their assigned territory. This position proactively works with a broad set of stakeholders to illustrate the value delivered through Dataiku’s software & services. The Senior Customer Success Manager serves as the internal voice of the customer while working with other Dataiku teams and partners to exceed customer expectations. This individual's performance is based on specific metrics associated with customer product adoption, expansion & retention.

How you'll make an impact:

• Actively serves a portfolio of assigned accounts including some of the world’s leading organizations in industries such as financial services, insurance, pharmaceuticals, transportation, manufacturing and technology.
• Gain an understanding of client’s use cases and desired business outcomes and help a large number of licensed users achieve these goals via Dataiku's Product & Services.
• Help clients translate the business use cases they’re trying to crack into data science solutions.
• Partner with Dataiku Implementation Managers and Data Scientists to ensure successful deployment and engagement with Dataiku.
• Provide guidance to customer organizations on how to leverage Dataiku to implement data science projects from design to production.
• Implement customer engagement strategies including consistent Executive Business Reviews.
• Leverage Customer Health analytics to identify customer expansion opportunities & churn risks.
• Collaborate with Dataiku’s Sales team to expand customer relationships & ensure renewals.

What you'll need to be successful:

• Fluent English is a must-have. Fluent German and French, or one of these, is required for the role
• Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.
• At least 5-15 years of prior account management, customer success, consulting experience, preferably within enterprise software or data science.
• Strong verbal/written communication & presentation skills; extraordinary listening skills
• Strong knowledge of data science project lifecycle and a proven record of supporting organizations in their AI maturity curve.

#LI-Hybrid #LI-SC1

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

The Role

As the CTO of Overstory, you will lead and scale a world-class engineering team that reduces the risk of wildfires and power outages around the world. This is a rare opportunity for a seasoned engineering leader to help guide a commercially successful climate-tech company through its next stage of growth.

Following our Series B, we’re entering a phase of rapid expansion. You will define a compelling technical strategy and build the team to deliver it. This role requires someone who can zoom in and out seamlessly — rolling up your sleeves to solve complex technical problems while also communicating effectively with the board.

Our product sits at the intersection of AI and remote sensing — fields evolving at light speed. The work is exciting, mission-driven, and core to transforming the electric utility industry and creating a more resilient grid. But it comes with ambiguity. We’re looking for someone energized by the unknown, eager to build products customers love through bold, creative approaches. You must be comfortable balancing the needs of a growing business with building scalable solutions for the future — and be ready to move with urgency on both.

Time zone requirement: Europe (GMT/WET, CET) and Eastern United States (EST)

What A Successful Candidate Looks Like

You’re an entrepreneurial startup leader with a track record of leading engineering teams from Series A through Series C and beyond with a mix of boldness and empathy. You understand the ups and downs that are normal at VC-backed startups. You know how to inspire global teams with an exciting vision while offering them the hands-on support to bring it to life. 

You have a strong network to tap, and you are bold in your recruiting. You’re not afraid to hire people who know more than you and to stretch for top talent, and you understand that recruiting is a top priority that requires constant networking and attention. You will build a diverse team that has a high-performing, inclusive, and caring culture.

What You’ll Do

• Lead the development of all of Overstory’s technology, including our software product, our ML models, the internal tools we use and the platform that underlies it all.
• Work in close partnership with our VP Product & Strategy to propel the business forward with the product we are developing. You’ll work to deeply understand our customers' problems so that you can lead bold engineering initiatives to solve them.
• Build a high-performing and diverse engineering team that works remotely from multiple countries, and across multiple time zones.
• Create a compelling technical vision and translate that into a strategy for the next 12-36 months.
• Lead highly productive cross-functional teams that ship a high-quality product on a daily basis. 
• Foster an inclusive culture where everyone can do their best work.
• Create strong lines of communication within your team and partnerships with other key parts of the business.

About You

Traits we value:

• Boldness: You’re not afraid to make hard decisions and take risks, and you always act with urgency. 
• Mission-driven: You care deeply about building great products that help communities adapt to climate change by creating a more resilient electrical grid.
• Empathy: You can attract and develop a diverse team, and you are inclusive in your approach to leadership. 
• Listening: You lead with inquiry. You make people on your own team and across the company feel heard.
• Curiosity: Learning excites you, and you’re not afraid to admit what you don’t know.
• Clarity: You’re a simplifier, not a complicator, and you can communicate clearly to a broad audience without using jargon. 
• Collaborative spirit: Team above ego, and you’re never afraid to get your hands dirty.

Experience we value:

• You have managed a team of 70+ people.
• You have been on a VC-backed startup journey from Series A through Series C or later, and you know how to scale a team successfully through those transitions. You value the entrepreneurial “get it done fast” spirit of the early days, while also setting a standard for excellence that will scale to later stages.
• You have experience working on a complex, ML-based product. Bonus points for geospatial or remote sensing experience. 
• You have a deep understanding of software development processes and are product-centric in the way you think about building technology. 
• You have experienced the value of cross-functional teams where engineering, product and design work side-by-side. 
• You have managed remote teams.
• You have managed global teams.

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

Who/What 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 Zurich office 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 Manager Consultant in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.
• Team Management: Lead, mentor, and foster collaboration within hybrid project teams, ensuring high-quality delivery and team growth.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 5–8 years of experience in strategy consulting, with a proven track record of delivering data, analytics, or AI-driven transformation projects.
• Business Acumen & AI Fluency: A strong dual affinity for business and technology. You possess a deep understanding of modern data and AI concepts (e.g., Generative AI, LLMs, predictive machine learning, cloud architectures) and their practical business applications. While you do not need to be a programmer, you must be capable of scoping AI use cases and confidently discussing tech constraints and opportunities with c-level stakeholders.
• Knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you don’t need to be a programmer, but you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 Consultant in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 2–4 years of experience in strategy consulting, data/digital consulting, or business analyst roles, with hands-on exposure to data, analytics, or AI-driven projects.
• Business Acumen & AI Fluency: A dual affinity for business and technology. You enjoy solving complex problems and can approach challenges in a structured, strategic way.
• Knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you don’t need to be a programmer, but you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.
• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 AI Manager in Pharma & Life Science in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams (specifically in the Pharma & Life Sciences sector) to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.
• Team Management: Lead, mentor, and foster collaboration within hybrid project teams, ensuring high-quality delivery and team growth.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 5–8 years of experience in strategy consulting with a mandatory focus on the Pharma & Life Sciences sector and with a proven track record of delivering data, analytics, or AI-driven transformation projects.
• Pharma Domain Expertise: Strong grasp of the life sciences ecosystem, including regulatory environments, the drug development lifecycle, and digital health trends.
• Business Acumen & AI Fluency: A strong dual affinity for business and technology. You possess a deep understanding of modern data and AI concepts (e.g., Generative AI, LLMs, predictive machine learning, cloud architectures) and their practical business applications. While you do not need to be a programmer, you must be capable of scoping AI use cases and confidently discussing tech constraints and opportunities with c-level stakeholders.
• Strong knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 AI Senior Consultant in Pharma & Life science in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams (specifically in the Pharma & Life Sciences sector) to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 2–4 years of experience in strategy consulting, data/digital consulting, or business analyst roles, with a mandatory focus on the Pharma & Life Sciences sector and with hands-on exposure to data, analytics, or AI-driven projects.
• Pharma Domain Expertise: Strong grasp of the life sciences ecosystem, including regulatory environments, the drug development lifecycle, and digital health trends.
• Business Acumen & AI Fluency: A dual affinity for business and technology. You enjoy solving complex problems and can approach challenges in a structured, strategic way.
• Strong knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.
• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 Manager Consultant in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.
• Team Management: Lead, mentor, and foster collaboration within hybrid project teams, ensuring high-quality delivery and team growth.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 5–8 years of experience in strategy consulting, with a proven track record of delivering data, analytics, or AI-driven transformation projects.
• Business Acumen & AI Fluency: A strong dual affinity for business and technology. You possess a deep understanding of modern data and AI concepts (e.g., Generative AI, LLMs, predictive machine learning, cloud architectures) and their practical business applications. While you do not need to be a programmer, you must be capable of scoping AI use cases and confidently discussing tech constraints and opportunities with c-level stakeholders.
• Knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you don’t need to be a programmer, but you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 Consultant in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 2–4 years of experience in strategy consulting, data/digital consulting, or business analyst roles, with hands-on exposure to data, analytics, or AI-driven projects.
• Business Acumen & AI Fluency: A dual affinity for business and technology. You enjoy solving complex problems and can approach challenges in a structured, strategic way.
• Knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you don’t need to be a programmer, but you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.
• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 AI Manager in Pharma & Life Science in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams (specifically in the Pharma & Life Sciences sector) to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.
• Team Management: Lead, mentor, and foster collaboration within hybrid project teams, ensuring high-quality delivery and team growth.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 5–8 years of experience in strategy consulting with a mandatory focus on the Pharma & Life Sciences sector and with a proven track record of delivering data, analytics, or AI-driven transformation projects.
• Pharma Domain Expertise: Strong grasp of the life sciences ecosystem, including regulatory environments, the drug development lifecycle, and digital health trends.
• Business Acumen & AI Fluency: A strong dual affinity for business and technology. You possess a deep understanding of modern data and AI concepts (e.g., Generative AI, LLMs, predictive machine learning, cloud architectures) and their practical business applications. While you do not need to be a programmer, you must be capable of scoping AI use cases and confidently discussing tech constraints and opportunities with c-level stakeholders.
• Strong knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

Who/What 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 Zurich office 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 AI Senior Consultant in Pharma & Life science in our Zurich office, you will be at the intersection of strategy consulting and data/AI innovation. You will:

• Strategy Development: Work with client leadership teams (specifically in the Pharma & Life Sciences sector) to address high-stakes questions: How can AI reshape our business model? How should we govern and organize for data? Which strategic programs deliver the most impact?
• Structured Problem-Solving: Break down complex challenges into clear, actionable recommendations, using frameworks and methodologies rooted in classic strategy consulting, enriched by Artefact’s data and AI expertise.
• Project Delivery: Support engagements end-to-end, from hypothesis framing and market/competitor analysis to client workshops, governance design, and implementation roadmaps.
• Client Engagement: Collaborate closely with C-level stakeholders and business unit leaders. You’ll build trusted relationships, communicate recommendations with clarity, and ensure strategic alignment.
• Knowledge & Practice Building: Contribute to the growth of Artefact’s Zurich office by shaping new offerings, creating intellectual capital (frameworks, thought pieces, benchmarks), and participating in business development.

Candidate Profile

We are looking for an ambitious, analytically minded talent who is passionate about leveraging data and AI to solve business problems. The ideal candidate meets several of the following qualifications:

• Education: Bachelor’s and Master’s degree (preferred) in Business, Engineering, Computer Science, Economics or a related field. An excellent academic track record is highly valued.
• Work Experience: Approximately 2–4 years of experience in strategy consulting, data/digital consulting, or business analyst roles, with a mandatory focus on the Pharma & Life Sciences sector and with hands-on exposure to data, analytics, or AI-driven projects.
• Pharma Domain Expertise: Strong grasp of the life sciences ecosystem, including regulatory environments, the drug development lifecycle, and digital health trends.
• Business Acumen & AI Fluency: A dual affinity for business and technology. You enjoy solving complex problems and can approach challenges in a structured, strategic way.
• Strong knowledge of data and digital technologies (e.g. analytics, AI, machine learning concepts, digital marketing, cloud platforms) is expected – you should be tech-savvy and eager to deepen your understanding of the data/AI domain.
• Analytical & Problem-Solving Skills: Strong quantitative and analytical skills, with an ability to draw insights from data. You have an analytical mindset and are comfortable handling data-driven analysis to support decision making.
• Communication & Interpersonal Skills: Excellent communication skills, both written and verbal. You can present complex ideas clearly and can adapt your message to both technical and non-technical audiences. Experience creating impactful presentations or reports is a must. You also enjoy working collaboratively in teams and liaising with clients.
• Languages: Fluency in German and English (both written and spoken) is mandatory; French is a strong plus.
• Work Eligibility: You must be eligible to work in Switzerland.

Why Join Us

• Strategy with a Data Edge: Artefact is not a traditional strategy consultancy nor a pure tech player — we sit uniquely at the crossroads, giving you the chance to build boardroom-level strategy expertise while being at the forefront of AI and digital transformation.
• Zurich Office Impact: As part of a growing Swiss team, you will have visibility and impact from day one. You will help shape Artefact’s footprint in the region and work directly with senior leadership.
• Learning & Growth: Regular training in both strategy consulting methodologies and AI/data capabilities, combined with international exposure.
• Culture of Doers: Innovation, Action, Collaboration. We are entrepreneurial, fast-moving, and committed to delivering impact — while supporting each other’s growth.

This position is based in Zürich.

Don’t worry if you don’t meet all the criteria! We value motivation, pragmatic problem-solving, and potential above all else. We’d love to hear from you and learn more about your passion for driving the AI revolution.

The Role

The Lead Researcher in Quantum Machine Learning will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Lead Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Lead Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

Reporting directly to the Director of AI, the Lead Researcher in Quantum Machine Learning plays a pivotal role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Lead Applied Researcher should expect to work in the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Keeping up with state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Assisting in writing patent draft applications
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Lead Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning.

• PhD in computer science, physics, mathematics, electrical engineering, or equivalent subject is required
• Publication record in quantum machine learning, or variational quantum algorithms is required
• Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket) is required
• Advanced experience working with variational quantum algorithms for machine learning is required
• Experience working with the classical machine learning algorithms is required
• Computational learning theory expertise is optional
• Expert knowledge in Python is optional
• Expert knowledge in Pytorch and TensorFlow is optional
• Experience in programming for GPUs is optional
• Experience in working with QPUs is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

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

Who we seek:

We are looking for a Regional Sales Manager in Switzerland, who will be responsible for driving deals in the market. The ideal candidate will have experience selling enterprise data or security products and understand how to sell to complex technical audiences.

What you’ll do:

• Identify, develop, and execute a comprehensive account strategy to close new business and drive expansion growth with customers across a defined territory.
• Prepare and maintain an accurate sales forecast for your territory.
• Network in customers and related organizations.
• Establish, access, and create positive business relationships with key executives and senior-level decision-makers.
• Maintain accurate and up-to-date account intelligence in Salesforce, including regular forecasting of business opportunities to sales and executive leadership.
• Report on sales activity and forecast to senior sales management.
• Responsible for territory quota and named accounts in a defined territory.
• Direct an inside sales team and marketing to uncover opportunities in territory.

What you’ll bring:

• Excellent oral and written communication, able to articulate and present well in front of technical and executive level stakeholders.
• You will have 5-10+ years of direct sales experience selling enterprise software to mid-size to large enterprises.
• Proven track record of successfully closing six and seven figure software licensing deals with prospects and customers in the defined territory of Switzerland.
• You have a measurable track record in new business development and overachieving sales targets.
• Prior experience selling data security.
• Experience in selling complex enterprise software solutions and ability to adapt in fast-growing and changing environments.

What’s in it for you?!

Our people are the foundation of our success, and we prioritize offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements 
• Other compulsory benefits based on country of residence

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

•   Care - We care about our customers and each other
•   Do - We do what it takes to make a positive impact
•   Try - We try our best and we don’t give up
•   Shine - We shine and make it our mission to always stand out

#LI-YD1

#LI-Remote

Role

As a Senior Research Scientist in the Applied Research team, you conduct applied research and design innovative algorithms in the space of geometric computer vision and image/video/vision-centric foundation models for deployment in industrial robotics at scale. In this role you define processes and develop approaches in Deep Learning that mitigate the risks of hallucinations, improve accuracy and deploy algorithms on industrial robotics workcells to gauge sim-to-real transfer of models. As a Senior Research Scientist at Intrinsic you provide input and guidance for the development and generation of synthetic data and annotations required for training foundation models at scale based on the identification of gaps in the sim-to-real transfer of models. You also work with Research partners and cross-disciplinary engineering teams to ideate new approaches and architectures to bring state of the art foundation models to real-world industrial applications. Constant learning and exploration of unfamiliar technologies is also part of this role. 

How your work moves the mission forward

Your work can play a significant role in democratizing access to advanced AI skills to the average user in robotics and enhance the credibility of deploying AI models at scale in industrial settings. As part of your day-to-day work: 

• You are insightful and innovative, proactively identifying needs and bottlenecks based on customer problems and proposing practical solutions that are deployable in high throughput environments.
• You serve as the nexus between the robotics team and our research partners—collaborating with them, providing engineering insights into research projects, and ideating practical next generation solutions. 
• You serve as an advisor to the engineering and other cross-functional teams providing critical guidance in terms of translating early (AI-powered) research capabilities into robust engineering capabilities in Flowstate (Intrinsic’s software platform for robotics solutions).
• You continually keep abreast of the latest developments in deep learning, AI, machine learning, perception to ensure that Intrinsic can continually keep evolving its advanced capabilities over time.
• Document and develop the prototype fully so it can be shipped to external users. 

In all the above, you will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, and product groups within Intrinsic.

Skills you will need to be successful

• Master’s or PhD degree in Computer Science, Robotics, or a related technical field with a high degree of passion for robotics and foundation models and a strong inclination towards accelerating the deployment of such models in practical industrial manufacturing applications.
• 3 years of experience in robotics software development or research (work on your PhD can count towards this).
• Proficiency programming in Python and at least one of the ML/DL frameworks such as PyTorch, Jax, and/or Tensorflow.
• Knowledge of robotics perception or manipulation algorithms.
• Experience working with robot hardware or simulation environments.
• A team player with a product mindset, a willingness to learn, and apply oneself to delivering value in practical real-world problems.

Skills that will differentiate your candidacy

• Advanced degree (Master's or PhD) in Robotics, Computer Science, or a related technical field.
• Expertise in deep learning, including transformer-based approaches for robotics, and other areas such as Learning from Demonstrations, Reinforcement learning.
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Experience generating or utilizing synthetic data for machine learning in robotics.
• Publications in relevant robotics conferences or journals.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot 

The Gemini Safety team is accountable for the safety and fairness behavior of GDM’s latest Gemini models. The role of the Research Scientist will be to apply and develop data and algorithmic cutting edge solutions to advance GDM’s latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.

About Us 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

We’re looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.

Our team focuses on advancing the safety and fairness behaviour of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.

Key responsibilities:

• Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.
• Improve Gemini’s adversarial robustness, with a focus on high-stakes abuse risks.
• Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.
• Develop and execute experimental plans to address known gaps, or construct entirely new capabilities
• Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale

About you

In order to set you up for success as a Research Scientist in the Gemini Safety team,  we look for the following skills and experience:

• PhD in Computer Science, a related field, or equivalent practical experience.
• Significant LLM post-training experience.

In addition, the following would be an advantage: 

• Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning
• Experience with Long-range Reinforcement learning
• Experience in areas such as Safety, Fairness and Alignment
• Track record of publications at NeurIPS, ICLR, ICML
• Experience taking research from concept to product
• Experience with collaborating or leading an applied research project
• Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.
• Experience with JAX

Are you a computer science expert fluent in French, eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline software development for engineers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI.

We’re looking for computer science specialists who live and breathe algorithms, data structures, machine learning, artificial intelligence, software engineering, computer networks, cybersecurity, cloud computing, database management, and systems architecture. You’ll challenge advanced language models on topics like algorithm optimization, model training and evaluation, network protocols, distributed systems, object-oriented design, and performance tuning—documenting every failure mode so we can harden model reasoning.

On a typical day, you will converse with the model on coding scenarios and theoretical computer science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics.

A master’s or PhD in computer science or a closely related field is ideal; peer‑reviewed publications, software development experience, or hands-on machine learning projects signal fit. Clear, metacognitive communication—“showing your work”—is essential.

Ready to turn your computer science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world.

We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Job title: Computer Science Specialist (Fluent in French) – AI Trainer
Employment type: Contract
Workplace type: Remote
Seniority level: Mid‑Senior Level

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

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

In 2023, IMC acquired Altas Technologies, a rapidly growing algorithmic trading firm with the ambition of creating tomorrow’s most technically advanced trading stack. By combining Altas’ highly advanced trading strategies with IMC’s execution and scaling capabilities, this move strengthens IMC's position in the market and is an important step towards ensuring stability and long-term growth for the firm.

The Altas team builds robust, fully automated systems to predict and trade cryptocurrency markets.  As a technology-oriented and scientifically-minded group, we design and build our own cutting-edge systems, from high-performance trading platforms to distributed ML- and research infrastructure. You’ll join at a very exciting time in the growth of the team, and will be able to contribute to our success in scaling our crypto strategies. In this role you'll work together with an ambitious team of researchers and quant developers to design and implement HFT monetization frameworks end-to-end and from the ground up. 

Your Core Responsibilities

As a Quantitative Researcher, you will be operating as a senior and core member of our high-performance, dedicated, multi-disciplinary team, with a background in Mathematics, Physics, Computer Science, Robotics, Data Science, Engineering, Statistics. The one thing we all have in common, regardless of our individual backgrounds, is a creative and scientific mindset.

You will not get a lot of top-down instruction telling you exactly what to do and when to do it. You'll get directional advice, useful frameworks, access to interesting challenges, and plenty of freedom to execute as you see fit. We are meritocratic by nature and believe that empowering talent in our organization is the only way to achieve our highly ambitious goals.

We are looking for a creative scientifically minded individual who can lead the growth of the firm’s trading research to improve execution quality in delta 1 mid-frequency (intraday) trading context. As a Quantitative Researcher, you will work together with the engineering team to implement and test execution improvements, and the research team to improve the strategies' capacity and profitability from the perspective of trading costs.

• You will have full ownership of the design and development of models and algorithms responsible for trading and optimal execution of billions in monthly volume
• You will work together with peer researchers and quant developers to design and improve HFT monetization frameworks end-to-end and from the ground up. This includes HFT alpha research, market impact modeling, ML modeling, execution benchmarking, and performance profiling
• Analyze large orders- and trades datasets for post-trade analytics, and improve monitoring capabilities to ensure we are always on top of the market, decomposing PnL and identifying blind spots / opportunities in the algorithms.

Your Skills and Experience

• An advanced degree with excellent grades in Mathematics, Physics, Computer Science, Data Science, Engineering, Statistics or any other highly quantitative field
• Experience as a Researcher in (high to mid-frequency) D1 execution research, ideating trades- and book features that are predictive of execution costs and short-term price movements.
• Demonstrable experience and interest in crypto markets is highly preferred.
• Significant practical experience with large messy datasets.
• Understanding of position management, market risk, and the optimal execution side of quant strategies (implementation shortfall, trade cost modelling).
• Scientific mindset with experience in data analysis with Python & any SQL dialect. Strong eye for detail and highly structured, using a rigorous process to ensure results are reliable and well tested
• Serious about clean code, simple but well-architected systems, and continuous improvement
• Sense of ownership taking full responsibility and accountability for your contributions
• Technical accomplishments are considered a plus: Kaggle, Hackathons, Olympiads, publications

Snapshot

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

About Us

The Agentic Red Team is a specialized, high-velocity unit within Google DeepMind Security. Our mission is to close the "Agentic Launch Gap"—the critical window where novel AI capabilities outpace traditional security reviews. Unlike traditional red teams that hand off reports and move on, we operate with extreme agility, embedding directly with product teams as both a consulting partner and an exploitation arm. We act as a "special forces" unit capable of jumping into high-priority launches, relying on Google Core for foundational system-level protections so we can focus exclusively on model and agent-layer risks.

The Role

As a Senior Security Engineer on the Agentic Red Team, you will be the primary technical executor of our adversarial engagements. You will work "in the room" with product builders, identifying architectural flaws during the design phase long before formal reviews begin.

Your core focus will be to perform complex, multi-turn attacks on production-level AI models, specifically targeting agentic behaviors like tool usage and reasoning chains. You will not only find vulnerabilities but also help close the loop by contributing to "Auto Red Teaming" frameworks and defensive strategies, ensuring that your findings are codified into reusable guardrails for all Google agent developers.

Key responsibilities:

• Execute Agile Red Teaming: Conduct rapid, high-impact security assessments on agentic services, focusing on vulnerabilities unique to GenAI such as prompt injection, tool-use escalation, and autonomous lateral movement.
• Develop Advanced Exploits: Engineer and execute complex attack sequences that exploit non-deterministic model behaviors, agentic logic errors, and data poisoning vectors.
• Build Automated Defenses: Write code to transform manual vulnerability discoveries into automated regression testing frameworks ("Auto Red Teaming") that prevent regression in future model versions.
• Embed with Product Teams: Partner directly with developers during the design and build phases to provide immediate feedback, effectively shortening the feedback loop between offensive findings and defensive engineering.
• Curate Threat Intelligence: Maintain and expand a library of agent-specific attack patterns and exploit primitives to establish robust release criteria for new models.

About You

In order to set you up for success as a Software Engineer at Google DeepMind,  we look for the following skills and experience:

• Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
• Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
• Strong coding skills in Python, Go, or C++ with experience building security tools or automation.
• Technical understanding of LLM architectures, agentic workflows (e.g., chain-of-thought reasoning), and common AI vulnerability classes.

In addition, the following would be an advantage: 

• Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
• Experience working in a consulting capacity with product teams or in a fast-paced "startup-like" environment.
• Familiarity with AI safety benchmarks, evaluation frameworks, and fuzzing techniques.
• Ability to translate complex probabilistic risks into actionable engineering fixes for developers.

The US base salary range for this full-time position is between $166,000 - $244,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.

Key responsibilities:

• Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
• Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights
• Develop and implement novel, goal-oriented metrics
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience
• Communicate findings & recommendations to stakeholders, including executives
• Champion data-driven culture by feeding user engagement insights back into models
• Collaborate with the GenAI team on model quality and feature adoption
• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

About You

In order to set you up for success as a Data Scientist at DeepMind,  we look for the following skills and experience:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree.
• 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.

In addition, the following would be an advantage: 

• A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.
• Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.
• Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.
• Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.
• A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.
• A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.

Application deadline: 12pm GMT 28th February 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see ourApplicant and Candidate Privacy Policy.

At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

We are looking for a Quantitative Researcher who can help us develop alpha through systematic trading strategies. You will work closely with experienced researchers, traders, and a technology team with deep domain expertise. The digital asset space is young, fast-evolving, and filled with innovative sources of alpha and trading opportunities.

Key Responsibilities:

• Employ a rigorous scientific approach to develop sophisticated investment models and deliver insights into how markets behave
• Apply quantitative techniques, like machine learning, to a vast and innovative array of datasets
• Create and test complex investment ideas and develop algorithms that lead to trading decisions
• Analyze investment model performance and behavior, aiming for constant improvements
• Work closely with our team of experienced developers to translate investment models into production code

Skill Set and Qualifications:

• Educational background in technical field, preferably Mathematics, Statistics, Physics or Theoretical Computer Science
• Solid experience in model building, backtesting, parameter optimization routines, execution engine design and performance tracking
• Strong analytical skills; experience working with, and analyzing, large datasets
• Strong mathematical and statistical modeling skills (e.g. time-series)
• Ability to think independently, creatively approach data analysis, and communicate complex ideas clearly
• Basic knowledge of the digital asset space is beneficial, but not required
• Intermediate programming background in Python and C++
• Fluent English speaker
• Ability to travel periodically between our offices in NYC, London and Zug, Switzerland

Are you keen to work in a well-resourced startup environment, where your ideas, experience, and drive to find creative solutions makes a difference? We’d like to hear from you.

The salary for this role is anticipated to be between $125,000 and $250,000. This anticipated salary range is based on information as of the time this post was created. This role may also be eligible for additional forms of compensation and benefits, such as a discretionary bonus, health, dental and other benefits plans. Actual compensation will be carefully determined based on a number of candidate factors, including their skills, qualifications and experience.