Director, Machine Learning Platform Job at Delivery Hero (Barcelona)

Senior Director - Data Engineering & Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

Canada

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms
Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent
Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams
Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices

What we offer

Remote work with flexible working hours
Modus Global Office Programme:for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

Associate Director, Reinforcement Learning (ML)

Lead Amgen’s strategy and execution for Reinforcement Learning from Human Feedba...

Location

United States , Thousand Oaks; Jacksonville

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 3 years of Computer Science, IT or related field experience
Master’s degree and 5 years of Computer Science, IT or related field experience
Bachelor’s degree and 7 years of Computer Science, IT or related field experience
Associate’s degree and 12 years of Computer Science, IT or related field experience
High school diploma / GED and 14 years of Computer Science, IT or related field experience
Deep, hands-on expertise in Reinforcement Learning from Human Feedback (RLHF) and/or advanced reinforcement learning, including reward modeling, policy optimization, exploration strategies, and offline/online evaluation
Demonstrated experience deploying RLHF or RL systems into production for real-world applications (e.g., large language models, recommendation systems, decision support tools, or workflow automation), ideally in healthcare, life sciences, or other regulated domains
Strong background in modern machine learning and deep learning, with practical experience in Python and frameworks such as PyTorch or TensorFlow, and familiarity with LLM ecosystems and tooling
Experience driving sophisticated, cross-functional initiatives, collaborating with non-technical stakeholders (e.g., physicians, scientists, commercial leaders, compliance, legal) and translating needs into impactful AI solutions
Strong ability to communicate complex technical topics simply, tailoring content to senior executives and non-technical audiences

Job Responsibility

Lead the design and development of RLHF systems including reward modeling, policy optimization, safety and alignment mechanisms, and evaluation frameworks for large language models and other AI systems
Drive hands-on technical execution, particularly for high-impact projects, reviewing architectures, experimentation plans, and code, and helping the team navigate scientific and engineering trade-offs
Establish best-practice pipelines for human feedback, partnering closely with internal customer teams to define feedback protocols, annotation quality standards, and governance for RLHF data
Define and track success metrics for RLHF systems, balancing offline and online evaluation, A/B tests, safety and robustness criteria, and business or scientific outcomes
Collaborate across Amgen leaders to ensure RLHF solutions are aligned with strategy, compliant with policy, and integrated into real workflows
Partner with Data, Platform and Technology teams to ensure that RLHF workloads are supported by scalable data platforms, model hosting, experimentation infrastructure, and MLOps best practices
Champion responsible and compliant AI, working with Legal, Compliance, and Information Security to implement governance around human feedback, data usage, model behavior, transparency, and risk management in a regulated environment
Communicate insights and influence senior stakeholders, creating clear narratives, roadmaps, and recommendations that help executives understand RLHF trade-offs, risks, and opportunities

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Data & AI/ML Partnerships Director

Anaconda is seeking a visionary leader to define and execute our global Data & A...

Location

United States

Salary:

176000.00 - 254000.00 USD / Year

Anaconda

Expiration Date

February 08, 2026

Requirements

10+ years of experience in technical business development, ISV alliances, or data and AI/ML partnerships with a proven track record of driving partner-led revenue growth
Deep understanding of cloud, data, and AI/ML platform ecosystems, including experience with Databricks, Snowflake, Palantir, or similar technologies
Demonstrated success driving product integration, adoption, and co-sell initiatives within platform ecosystems that result in measurable business outcomes
Strong grasp of modern data and AI architectures, including data lakes, agentic applications, notebooks, LLMOps, vector stores, and MLOps workflows
Executive presence and relationship-building skills with both technical and business stakeholders at partner organizations
Experience with negotiation and contract management for complex partnership structures in collaboration with legal and finance teams
Track record of cross-functional collaboration with product, engineering, and go-to-market teams to drive partnership outcomes
Willingness to travel up to 30% for partner meetings, conferences, and industry events
You embody our values: 'Curious by Default', 'Build Together', 'Own It', and 'Lead with Guts and Heart', and our behaviors: Clarity, Care and Candor
You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

Job Responsibility

Develop and execute Anaconda's Data & AI/ML Platforms strategy with clear revenue, adoption, and integration targets that translate technical synergy into measurable business outcomes
Build executive sponsorship across partner organizations and lead partnership negotiations to establish quarterly business reviews, performance scorecards, and long-term strategic alignment
Partner with Product and Engineering to define joint integration roadmaps that deepen Anaconda's presence across data, compute, and AI/ML stacks — from notebooks and vector databases to ML pipelines and governance tools
Collaborate with partner engineering teams to launch high-value integrations that make building and deploying AI faster, safer, and more cost-effective while driving developer adoption
Create and execute joint go-to-market initiatives with each platform, building co-sell motions, field enablement programs, and customer success alignment that accelerate revenue growth
Enable partner field and solution engineering teams to confidently position Anaconda as the Python and AI enablement layer in their data platforms through comprehensive training and materials
Launch joint campaigns, case studies, webinars, and thought leadership with partner marketing teams to demonstrate real customer value and amplify Anaconda's ecosystem presence
Own Anaconda's presence at key industry events such as Data + AI Summit, Snowflake Summit, and Palantir AIPCon to build visibility and secure lighthouse customer wins

What we offer

Flexible Vacation Policy
Medical, Dental, and Vision Insurance
Short Term and Long Term Disability
Paid Parental Leave
Monthly Wellness Stipend
Employee Assistance Program and Mental Health Resources
Bonus
Equity

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...

Location

United States , Metairie

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
10–15+ years of progressive experience in data management, analytics, or leadership
Strong knowledge of data governance, metadata management, and MDM
Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
Understanding of IoT, digital twins, and Industry 4.0 technologies
Excellent communication, change management, and cross-functional leadership skills
Strategic thinking and business acumen
Relationship and stakeholder management
Enterprise systems expertise
Change leadership and communication

Job Responsibility

Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Data Science Intern

DOCSI is seeking a talented, driven data scientist to join our engineering team ...

Location

United States , Minneapolis

Salary:

Not provided

DOCSI

Expiration Date

Until further notice

Requirements

1-3 years of an undergraduate Data Science/Computer Science education or equivalent learning experience
A solid comprehension of core Data Science principles and best practices
Fundamental understanding of Git (or equivalent version control) and how to manage branches and merges
Action driven self-starter who enjoys improving existing processes
Lifelong learning mindset with a desire to explore new ideas and connect them to their work
Ability to work in an ambiguous, fast-paced environment

Job Responsibility

Work alongside the Director of Engineering and other brilliant DOCSI engineers to build and maintain our web platform
Design and create machine learning tools to amplify the quality of surgical waste reduction recommendations
Explore cutting-edge ML and AI models to solve complex healthcare logistics problems
Write code that goes directly into the hands of customers
Participate in critical design discussions that determine the future direction of our product
Gain access and connections to key members of the Twin Cities startup community
Help shape the culture of a new and growing engineering team

Sr Director- Reinforcement Learning

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 5 years of Artificial Intelligence/ Machine Learning experience
Master’s degree and 8 years of Artificial Intelligence/ Machine Learning experience
Bachelor’s degree and 10 years of Artificial Intelligence/ Machine Learning experience
PhD or equivalent experience in ML, RL, or related fields
10+ years AI/ML
5+ years reinforcement learning leadership

Job Responsibility

Define enterprise RL roadmaps, landmarks, and success metrics
drive early hands-on prototypes as the capability matures
Architect simulation environments, reward structures, and training loops for scientific and operational RL use cases
Lead algorithmic innovation and technical decisions across model-based RL, policy gradient methods, and actor-critic architectures
Advance RL for scientific domains such as protein design, docking, and structural modeling
expand RL beyond R&D into Manufacturing, Supply Chain, and Commercial applications
Oversee data pipelines, curation, and feature engineering supporting RL experimentation and multi-modal model training
Guide RL pilots from proof-of-concept through production deployment, ensuring ML Ops rigor—versioning, automated testing, monitoring, and continuous training
Partner deeply with biology, engineering, platform teams, product teams, and enterprise AI groups to integrate RL into existing workflows and systems
Mentor and develop talent

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Engineering Director

We are seeking a seasoned Engineering Director who thrives in challenging and fa...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
Experience in setting up geographically distributed sites
Must have a strong background in software development lifecycle including cloud infrastructure
Familiarity with agile methodologies and tools like JIRA
Prior experience in cloud product development and deployments
end to end ownership and accountability
Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change

Job Responsibility

Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
ensures that organization is effectively leveraging outsourced resources
Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Director, Machine Learning Platform

Delivery Hero

Location:
Spain , Barcelona

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 08, 2026

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