Responsibilities:

• Create and maintain data processing, cleaning, filtering, and selection pipeline that can handle image-text data.

• Watch out for the release of public high quality VLM datasets.

• Create and maintain synthetic data augmentation pipeline to enhance VLM data quality.

• Work with the multimodal vision team to run ablations on new dataset.

Responsibilities:

• Fine-tune both general-purpose and specialized models to align with specific use-case requirements.

• Design post-training datasets and develop rigorous evaluation frameworks to target and quantify model improvements.

• Participate in post-training research discussions and collaborate with cross-functional teams to translate novel ideas into practice.

Responsibilities:

• Design and implement high-performance, scalable training infrastructure that efficiently utilizes our GPU clusters for both specialized and large-scale multimodal models

• Build robust data loading systems that eliminate I/O bottlenecks and enable training on diverse multimodal datasets

• Develop sophisticated checkpointing mechanisms that balance memory constraints with recovery needs across different model scales

• Optimize communication patterns between nodes to minimize the overhead of distributed training for long-running experiments

• Collaborate with ML engineers to implement new model architectures and training algorithms at scale

Responsibilities:

• Design, develop, and maintain scalable data pipelines for large-scale multimodal and text-based foundation model training.

• Curate, clean, and validate diverse real-world datasets, ensuring high data quality and relevance.

• Develop and optimize data preprocessing models for automated cleaning, augmentation, and filtering.

• Implement robust data evaluation and benchmarking strategies to assess dataset quality and model impact.

• Develop scalable tools and frameworks for data ingestion, transformation, and annotation.

Responsibilities:

• Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data.

• Watch out for the release of public dataset on huggingface and other platforms.

• Create crawlers to gather datasets from the web where public data is lacking.

• Write and maintain synthetic data generation pipelines.

• Run ablations to assess new dataset and judging pipelines.

Responsibilities:

• Strong ML Experience: Proficiency in Python and PyTorch to effectively interface with the ML team at a deeply technical level.

• Hardware Awareness: Must understand modern hardware architecture, including cache hierarchies and memory access patterns, and their impact on performance.

• Optimization of Low-Level Primitives: Responsible for optimizing core primitives to ensure efficient model execution.

• Self-Guided and Ownership: Ability to independently take a PyTorch model and inference requirements and deliver a fully optimized edge inference stack with minimal guidance

Responsibilities:

• Create and maintain data cleaning, filtering, selection pipeline that can handle audio-text data.

• Watch out for the release of public high quality audio (ASR and SFT) datasets.

• Create and maintain synthetic data generation pipeline to create task-specific audio SFT data.

• Work with the multimodal audio team to run ablations on new dataset.

Responsibilities:

• Own end-to-end customer relationships from technical discovery through implementation and success validation

• Translate customer use cases into detailed technical implementation plans for the Applied ML Engineering team

• Conduct technical discovery sessions with customers to deeply understand their requirements, constraints, and success criteria

• Build and maintain the technical roadmap for each customer engagement, identifying risks and dependencies early

• Serve as the escalation point for complex technical challenges encountered during implementations

Responsibilities:

• Own the complete deployment journey - from model customization to serving infrastructure, ensuring our solutions work flawlessly in variable customer environments,.

• Deploy AI systems to solve use cases others can not - implementing solutions that push beyond base LFMs can deliver and redefine what's possible with our technology

• Work alongside our core engineering team to leverage and enhance our powerful toolkit of Liquid infrastructure

Responsibilities:

• Map and define sophisticated enterprise buyer personas across verticals, with specific focus on how different industries evaluate and adopt ML technology

• Track emerging ML model architectures & capabilities to identify strategic market opportunities and inform product positioning

• Transform complex ML infrastructure concepts into compelling, vertical-specific value propositions that resonate with both technical and business stakeholders

• Create technical content and sales enablement materials that demonstrate our unique approach to enterprise ML deployment

• Drive end-to-end launch strategy for new ML capabilities, ensuring GTM teams can effectively position our technical differentiation within each target vertical

Benefits:

• TRUST

• OWNERSHIP

• FREEDOM

• OWN AI PRODUCTS

• GREAT TEAM!

Experience Requirements:

• 4 years of experience in product ownership, product management, or related technical role

• 2+ years of experience building and shipping technical software products

• 2+ years of experience in working with external clients, contracts obligations, gathering client requirements

• Experience in on-premise products

Responsibilities:

• Product Delivery - acting as a Scrum PO for the Engineering team

• Product Delivery & Discovery - collecting, managing, and documenting user requirements and contractual obligations in multi-stakeholder environments

• Close cooperation with the sales team and project managers during platform deployment and customization process

• Ensuring that customizations for customers are in line with the goals and vision of the product

• Roadmap Planning and Goal Settings processes

Education Requirements:

• Bachelor’s degree in Computer Science, IT, Business, or a related field.

Experience Requirements:

• 4–6+ years in project management, account management, or a related role in a technical environment.

Responsibilities:

• Plan, execute, and deliver technical projects on time, within scope, and budget.

• Develop detailed project plans, including timelines, milestones, and resource allocation.

• Manage risks, issues, and changes effectively to ensure project success.

• Act as the primary point of contact for clients, ensuring their requirements are understood and addressed.

• Build and maintain strong client relationships to ensure satisfaction and repeat business.

Benefits:

• Professional Development: Mentorship from industry professionals and opportunities to participate in training sessions.

Education Requirements:

• Currently pursuing or recently completed a bachelor's or master's degree in Business Administration, Economics, Finance, Engineering, or a related field.

Responsibilities:

• Research and Analysis: Conduct in-depth research on industry trends, market dynamics, and organizational challenges to support client engagements.

• Data Collection and Interpretation: Gather and analyze quantitative and qualitative data to identify patterns, insights, and actionable recommendations.

• Client Collaboration: Assist in preparing and participating in client meetings, workshops, and presentations, contributing to the development of strategic solutions.

• Strategic Planning Support: Work alongside consultants to develop strategic plans, business models, and operational improvements tailored to client needs.

• Presentation Development: Create clear and compelling presentation materials to communicate findings and recommendations effectively to clients and internal stakeholders.

Benefits:

• Professional Development: Mentorship from industry professionals and opportunities to participate in training sessions.

Education Requirements:

• Bachelor’s degree in Human Resources, Business Administration, Psychology, or a related field.

Responsibilities:

• Recruitment Support: Assist in the recruitment process by posting job advertisements, screening resumes, coordinating interviews, and communicating with candidates.

• Onboarding Coordination: Facilitate the onboarding process for new hires, including conducting orientations, preparing onboarding materials, and ensuring all necessary paperwork is completed accurately.

• Employee Records Management: Maintain and update employee records in the Human Resources Information System (HRIS), ensuring data accuracy and confidentiality.

• Benefits Administration: Provide information to employees regarding benefits programs, assist in enrollment processes, and address routine benefits-related inquiries.

• Policy Compliance: Ensure compliance with company policies and procedures as well as federal, state, and local employment laws and regulations.Employee Relations: Serve as a point of contact for employee inquiries, addressing concerns and escalating issues as appropriate to maintain a positive work environment.

Benefits:

• Schreib Deine eigene Erfolgsgeschichte: Neue Märkte, Branchen und Regionen warten darauf, von Dir erschlossen zu werden.

• Learning & Development: Wir fördern Deine persönliche Entwicklung mit 1.000 Euro Weiterbildungsbudget jährlich, zusätzlich zu unserem internen Career-Framework Angebot.

• Wellbeing: Freue Dich auf eine Urban Sports Mitgliedschaft, 30 Tage Urlaub, Remote-Work und Workation Angebote sowie einem Volunteering Tag pro Jahr.

• Attraktiven Verdienstmöglichkeiten: Neben einem wettbewerbsfähigen Gehalt und weiteren Benefitwie z.B. Deutschlandticket wartet ein Dienstfahrzeug und ein wertschätzendes Provisionssystem auf Dich! Ebenfalls kannst Du dir deine Hardware zum Arbeiten frei zusammenstellen.

• Unternehmenskultur: Auf Dich warten Team-Weeks voller spannender Teamaktivitäten, eine wertschätzende Feedback-Kultur und täglich gelebte Company-Values.

Experience Requirements:

• Du hast 3+ Jahre Erfahrung in der SaaS-Consulting Branche, idealerweise mit Schwerpunkt auf Automotive, Maschinenbau, Verteidigungs- oder Luft- und Raumfahrtsektor

• Du besitzt fundierte Erfahrung im Technical Presales oder in der technischen Projektberatung

• Du arbeitest stets kundenorientiert, bist sicher und souverän in Deinem Auftreten bei technischen Präsentationen und Workshops und besitzt die Fähigkeit, komplexe Sachverhalte in verständlichen Worten zu erklären

• Du hast ein abgeschlossenes Studium in einem relevanten Bereich mit Bezug zu Maschinenbau oder Softwareentwicklung oder eine vergleichbare Ausbildung mit einschlägiger Weiterbildung erfolgreich abgeschlossen

• Du sprichst fließend Deutsch und Dich zeichnen ausgeprägte, professionelle Kommunikationsfähigkeiten aus.

Responsibilities:

• Du leitest die technische Beratung auf Kundenseite und begleitest diese durch den gesamten Sales-Prozess, um die komplexen Kundenanforderungen mit unserer SaaS-Lösung zu erfüllen

• Du analysierst die technische Infrastruktur unserer Kunden und entwickelst passgenaue Lösungskonzepte in Zusammenarbeit mit unserem Product-Team

• Du bereitest die Präsentation von Use Cases vor, erstellst eigenverantwortlich Mock-ups und Prototypen für technische und kaufmännische Stakeholder

• Du leitest technische Kunden-Workshops und Discovery Sessions für ein greifbares und verständliches Produkterlebnis

• Du arbeitest eng mit unseren Account Executives zusammen und nimmst an Kundenterminen und –veranstaltungen teil und stehst in kontinuierlichem Austausch mit dem Produktteam, um bessere Software-Lösung an den Kundenbedarf anzupassen.

Benefits:

• stock options

• equipment for remote work

• Budget to get your home office setup, or the cost of a co-working space

• Annual learning & development budget to support your career growth

• Medical/Dental/Vision plus ancillary insurances

Experience Requirements:

• Experience rolling out software solutions in healthcare environments

• Understanding of healthcare IT systems, standards, and integration approaches

Responsibilities:

• Lead implementation projects end-to-end, with an emphasis on successful solution rollout and client adoption

• Configure and set up facilities within our platform using our internal applications

• Coordinate with hospital IT teams to establish necessary data integrations (HL7, FHIR, SFTP)

• Develop and execute implementation plans with clear milestones and timelines

• Train client staff on platform usage and best practices

Benefits:

• Tax Free Income

• A challenging and dynamic role with opportunities for professional growth.

• The chance to shape the success of two companies and influence the broader group.

• A supportive environment with opportunities to collaborate on strategic initiatives.

Education Requirements:

• Bachelor’s degree in Business Administration, Finance, Accounting, or a related field (Master’s degree preferred).

Responsibilities:

• Manage and coordinate daily operations for two holding companies, ensuring worldwide efficiency and compliance.

• Oversee the shareholders in their responsibilities towards two subsidiaries of the holding companies.

• Oversee and advice two SAAS software companies on tax and corporate compliance.

• Maintain relationships with key stakeholders, including clients, suppliers, and partners.

• Ensure both companies adhere to legal, regulatory, and industry standards.

Education Requirements:

• Education in Computer Science, Information Technology, or a related field.

Experience Requirements:

• 4+ years of experience in technical project management, managing complex software projects from start to end.

• 2+ years in a overseas client-facing role, managing relationships and ensuring client satisfaction.

• 2+ years of experience leading engineering teams to deliver technical projects.

Responsibilities:

• Oversee and manage the full lifecycle of software projects, from initial planning through to final delivery.

• Act as the primary point of contact for clients, ensuring clear communication of project progress, deliverables, and timelines.

• Collaborate closely with engineering teams to ensure technical requirements are understood and met, delivering solutions that align with client objectives.

• Utilize Agile methodologies, including Scrum, to organize, plan, and execute projects efficiently.