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

THE ROLE

Provide integrated expertise and exceptional service for both clients and members of staff for all logistics-related activities to ensure the timely and cost-effective delivery of property in compliance with all associated laws and regulations.  Liaise with vendors to procure and coordinate logistics services to enable the movement of fine art and rarities to and from Sotheby’s, both domestically and internationally.

The role will cover Switzerland and Germany.

 RESPONSIBILITIES

• Arrange shipping and associated logistics requirements for all property.
• Work closely with the Pre Sale and Post Sale colleagues to deliver an integrated, consistent and exceptional client experience.
• Monitor and execute quote requests in a timely manner in line with established service levels.
• Respond to and resolve to successful conclusion shipping and logistics enquiries and issues.
• Obtain quotes from shippers and other related service providers for shipments and select the most suitable option for our internal and external clients.
• Assess and verify the requirements of a proposed shipment, including method of transport, packing, etc., and enter or validate this information in the system.
• Apply for CITES license applications or other license applicable, as appropriate.
• For all accepted client offers, where the shipment is arranged by Sotheby’s, and approved transfers contact vendors and issue instructions for packing, local transportation, shipping and security.
• Allocate tariffs to property imported or exported internationally.
• Monitor the progress of shipments, conferring with vendors to troubleshoot and rectify problems in a timely manner and ensuring that interested parties are apprised of the status of the shipment.
• Liaise with Manager to provide input on shippers’ performance and maintenance of service level requirements and KPIs.
• Ship in compliance with all applicable laws and regulations.
• Determine where consolidation of property can occur and arrange consolidated shipments to maximize efficiency and minimize cost.
• Maintain and scan all required documentation associated with shipments in accordance with department procedures.
• Prepare customs documents and submit to the appropriate regulatory bodies or shippers, ensuring the accuracy of the information and its timely submission.
• Coordinate and execute interoffice transfers to international offices and generate pre-alerts to Shipping Coordinators in those offices to ensure an efficient delivery of property.

 IDEAL EXPERIENCE & COMPETENCIES

• Bachelor’s degree with 2-3 years in Shipping roles
• Fluency in English, French and German is mandatory, Italian would be a strong advantage
• Strong knowledge of logistics, including current packing methods, transportation methods and regulatory compliance
• Action oriented with skills and aptitude to excel in a fast paced client-focused and deadline-driven environment
• Proactive communicator and solution oriented
• Comfortable speaking with clients and client facing teams
• Excellent client service skills; ability to remain calm in pressure situations
• Ability to learn quickly and apply knowledge
• Excellent communication and interpersonal skills; demonstrated ability to communicate with all organizational levels
• Ability to work both independently and as a team member to complete the task at hand
• Strong organizational skills to set priorities, multi task and meet deadlines
• Prior experience with fine art shipping is desirable as is foreign language(s)
• Prior experience with SAP is an advantage
• Flexibility to work overtime and weekend hours when necessary is required

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.

Workload: 100%, Sector : Energy / Natural Gas, Work location: Geneva (Switzerland)

Job description

Picarro is looking for a customer-facing Field Application (FAE)/Technical support Engineer (TSE) to become a key member of our Energy Team and contribute to the development in Europe, especially Italy.

She or he will have a hands-on approach, a strong technical acuity, and a willingness to drive customer satisfaction. This person will be responsible for providing technical support, installation, reparation, and maintenance on equipment, answering customers’ requirements and issues, and supporting post sales activity within major utility companies. She/he will also interface with new customers to organize and carry out field demonstrations and field trials using Picarro’s flagship products at customer sites.

Roles and Responsibilities

The Picarro FAE team services our natural gas utility customers providing high quality customer support both on-site and remotely. The FAE will be the primary technical support champion for the customers.

The primary responsibilities of the FAE are to provide technical support and support Picarro customers with their field organization. The FAE supports customer’s install base and develops a broad understanding of customer requirements and concerns, positions and adapts the capabilities of Picarro’s Natural Gas Asset Management solutions. The candidate will be trained to acquire a comprehensive understanding of the system technology and the ability to adapt the functionalities to the customer business case.

Key Responsibilities

• Responsible for the installation and testing of the Picarro system for enterprise customers on system deployments.
• Respond to technical support requests and technical questions, fix technical issues remotely or onsite.
• Provide a comprehensive diagnose of the system through remote diagnosis and debugging.
• Fix technical issues (hardware and software) and organize timely replacement of parts.
• Manage spare inventory and related logistics activities.
• Support on-site customer projects.
• Address field questions and respond appropriately by providing detailed technical answers along with technical documentation as required.
• Log Customer issues and track resolutions.
• Perform Quality control of operations and ensure process and procedures are maintained.
• Develop strong customer relationships with key accounts.
• Create data deliverables (reports, dashboards).
• Upon circumstances, customer support might be required during evenings (2pm – 10pm) and weekends (6pm – 10pm)
• Prepare technical documentation and procedures.
• Provide training and documentation for Support Level 1 and Support Level 2.
• Manage the periodic maintenance of the Picarro systems.

Desired Skills and Experience

Field applications engineers need a wide range of skills and a solid technical base. Because field application engineers provide technical support, they must be able to summarize and communicate issues in a synthetic manner and share them at various levels of the organization. They also must be familiar with technical product specifications and be able to point out the specific technical merits of our solution. Customer relationship skills are critically important in this role. Because customers want to be assured that the technology is reliable, the field applications engineer must be able to back up technical claims.

• Field experience or hands-on practice or knowledge of multi-disciplinary system design and development (systems such as electrical, electronics, computerized, mechanical, optical or a combination of these)
• Experience working in a customer facing role.
• Good knowledge and understanding of system engineering process, engineering designs and control systems.
• The ability to travel frequently to customer sites (Italy and/or abroad) on short notice is required.
• Comfortable in dealing with complex, abstract, or vague problems. Analytical skills to apprehend complex configurations with multiple failure causes.
• Strong skills in organization, timely delivery and independence are required.
• Clean, detailed, and clear documentation practitioner.
• Experience in project management is an asset.
• Be proactive as a customer advocate, looking for and solving problems before they surface.
• Ability to effectively communicate technical information to non-technical audiences. Excellent oral and written communication skills.
• Results-oriented team player with a “make it happen” attitude and drive for success in a fast-paced environment. Ability and affinity to respond quickly.
• Energetic, highly motivated, unmatched drive and strong ability to influence others.
• Demonstrate the necessary skills to negotiate issues with peers, partners and customers using a Win/Win philosophy.

Language Skills

• English & Italian: full proficiency – Required/Mandatory
• French – an Asset

Qualifications

• Graduate / Post-Graduate in engineering or science discipline (e.g. BE / BSc / MCA, etc.)
• Experience in a customer facing technical support role
• Additional technical and professional credentials relating to the job requirement skills are advantageous.
• Driving license

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor based on disability.

About Picarro

Picarro is a profitable Greentech company backed by prime venture capitalists in the Silicon-Valley. Picarro has about 350 employees with customers worldwide. We are a global company with our head office in the US (Silicon Valley) and offices in Switzerland, Netherlands and Beijing.

Picarro has been working for the last 20 years in revolutionizing the understanding of climate change and global carbon, water and nitrogen cycles by designing new instruments to meet the requirements of scientists and the industry.  In the past 10 years, Picarro has further developed its expertise in developing analytical solutions, data-rich algorithms, atmospheric modelling and data interpretation systems to simplify the complexity of environmental interactions and turning complex processes into meaningful and actionable insights. Our goal is to provide analytical services and solutions that drive efficiency in industrial processes and help mitigate climate change. 

We are today the world’s leading producer of greenhouse gas and stable-isotopes measurement instruments for a wide variety of scientific and industrial applications, including environmental and climate change research, air quality, energy and more specifically natural gas distribution networks and industrial airborne molecular contamination control (semiconductor and pharmaceutical). We’ve been awarded the World Economic Forum (WEF) Technology Pioneer 2012 award, got written up in the New York Times, winner of Wall Street Journal R&D awards and many more.

Natural Gas Network Management – a Digital Revolution

With regulations on pipeline safety being revised and tightened, pipeline operators are now looking at innovation to improve their asset management efficiency, relying on new, predictive tools to optimize network maintenance and assist in decisions for proactive replacement of assets within their infrastructure. The recent increase of objects connected to platforms gathering large amounts of data with powerful data analytics capabilities has given rise to a new way of approaching pipeline asset integrity. The Picarro Asset Management solution is part of this digital revolution and has been designed to meet next generation challenges to improve natural gas asset integrity management.

Picarro’s mobile natural gas detection technology allows natural gas data to be collected at a speed and scale not previously possible. Advances in “Big Data” Analytics allow better-informed conclusions to be drawn from that data. Picarro Asset management solution is used to improve network safety, natural gas sustainability and asset operational excellence.

https://naturalgas.picarro.com/

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability.

Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.