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technical support engineer

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader">About LILT</h1>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.<h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1>
We are seeking a highly motivated and skilled Technical Support Engineer to join our customer support team. As a Technical Support Engineer for the Lilt platform, you will work directly with our customers and linguists to help them resolve the issues they face while working with the platform and help LILT improve its AI platform. You will be the face of the company externally when discussing solutions and building relationships with our customers, and providing valuable feedback internally to our engineering teams to help improve our products and services. You will collaborate closely with our production and customer success teams and leverage your technical abilities to ensure the timely delivery of projects to our customers. The role also provides you the opportunity to build, fix, and create tools and features that have a direct impact on both internal and external users who depend on our product every day.
It's a great opportunity to learn a technically complex, customer-oriented product from the inside-out. Every day brings exciting and new challenges!<h1 class="jobSectionHeader">
Responsibilities:</h1><ul><li>
Be a key source of knowledge on the LILT platform and APIs, the underlying web-stack technologies, and industry-standard integration methods and best practices.</li><li>
Interact regularly with Engineering, Production, and cross-functional management on high-profile technical issues to the product support team.</li><li>
Reproduce customer issues, file bug reports, and coordinate the delivery of fixes.</li><li>
Analyze customer data, including log files, stack traces, browser traces, and thread dumps.</li><li>
Be an internal product advocate, track product processes, and contribute to the platform, feeding back feedback and issues you get back from LILT platform users</li><li>
Author knowledge base articles and drive internal knowledge-sharing initiatives.</li><li>
Be prepared to work in a 24x5 shift environment</li></ul><h1 class="jobSectionHeader">
Who you are:</h1><ul><li>
You are creative, courageous, and have strong problem-solving capabilities</li><li>
You can adapt to change quickly while dealing with many varied technical support requests and challenges</li><li>
You are highly technical with an interest in internet technologies and knowledge of technical processes (think SQL / HTML / JavaScript / PHP / Java / Scripting).</li><li>
You are self-driven, flexible, and have the ability to maintain high levels of productivity with minimal supervision, taking accountability for your work and results delivered.</li><li>
You&rsquo;ve had exposure to uncertain situations and show a history of dealing with ambiguity successfully</li><li>
You make quick, informed decisions under pressure and prioritize appropriately based on urgency, necessity, and both internal and external requests.</li></ul><h1 class="jobSectionHeader">
Skills and Experience:</h1><ul><li>
Excellent customer service and problem-solving skills</li><li>
Ability to quickly diagnose, multi-task and resolve customer issues</li><li>
Must be able to research the application database, application code, and knowledge base, and recreate issues to provide customer solutions</li><li>
Effectively communicate with customers as required: keeping them informed of incident progress and maintaining records of customer interactions, including actions taken, in written and sometimes in a meeting conference call</li><li>
Must be able to work independently and as a member of a team</li><li>
STEM degree preferred but not required</li><li>
Experience with a monitoring tool like Datadog is required</li><li>
Experience within the localization industry and multiple languages is a plus</li><li>
Experience in a Technical Support team setting (preferably in enterprise application software support) for more than 2 years</li></ul><ul><li>
SQL/Relational Databases - minimum 2-5 years</li><li>
Linux environment and kernel - minimum 2-5 years</li><li>
Scripting (i.e. Bash, Python, etc.) - minimum 2-3 years</li></ul><h1 class="jobSectionHeader">
Our Story</h1>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.<h1 class="jobSectionHeader">
Our Tech</h1>
What sets our platform apart:<ul><li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</li><li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</li><li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</li><li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</li></ul><h1 class="jobSectionHeader"> 
LILT in the News</h1><ul><li>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</li><li>
LILT makes it onto the Inc. 5000 List.</li><li>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</li><li>
Check out all our news on our website.</li></ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</div>

Technical Support Engineer

a16z

<div>Founded in Silicon Valley in 2009 by Marc Andreessen and Ben Horowitz, Andreessen Horowitz (aka a16z) is a venture capital firm that backs bold entrepreneurs building the future through technology. We are stage agnostic. We invest in seed to venture to growth-stage technology companies, across AI, bio + healthcare, consumer, crypto, enterprise, fintech, games, and companies building toward American dynamism. a16z has $90B under management across multiple funds.

We've established a team that is defined by respect for the entrepreneur and the company-building process; we know what it's like to be in the founder's shoes. We've invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders and their companies impact and change the world.
<h2 class="jobSectionHeader">
The Role</h2>

As an IT Engineer, you will provide a full spectrum of IT Support to the firm. Based in our San Francisco office you will serve as the face of the IT team as the primary support contact in the office for a diverse population of end users including the Executive level. You will take point on all IT needs that originate in the SF office. When not directly supporting the office, you will contribute to remote supporting the hybrid firm at-large and serve as a third level escalation point for service tickets.

The ideal candidate must have an innate desire to serve and support those around them, taking initiative to offer their services in any situation that may call for it. Low ego and agility are key. You must feel comfortable diving under desks to rig up a clean cable management solution, to supporting C-suite executives in high leverage situations, to coordinating A/V vendors for a live in-office event, to contributing on a complex SaaS system integration project with collaborators spread across the US timezones.

In this hybrid role, you should feel equally comfortable supporting users via email, chat, video call or in-person. You possess the skill to effectively troubleshoot and diagnose issues, conveying your insights through clear writing in a manner that is both friendly and professional. You carry this same demeanor into a video call or in-person interaction when the situation calls for it. You will work independently on many tasks but understand the importance of constant communication and collaboration to ensure you're in sync with the priorities of the larger team.

You must have deep technical knowledge across various domains including MacOS, Windows, iOS, and Android. Experience across a breadth of SaaS applications like Okta, Google Workspace, and Slack are required. You will have experience supporting fleets of endpoints, IT and networking infrastructure, and complex, multi-vendor IT environments. Experience managing integrated conference room A/V systems as well as supporting live event production are preferred.
 
 
This role requires an in-office presence 5 days a week in our San Francisco, CA office.
<h2 class="jobSectionHeader">
To join our team, you should be excited to:</h2>
<ul><li>Deliver a first-class, white-glove customer service experience for everyone who interacts with or within the technical systems of the firm</li>
<li>Troubleshoot and resolve escalated IT requests from across the entire organization, up to and especially our Executive Suite</li>
<li>Design, implement, maintain, and secure all IT systems and the entire SaaS software stack in our environment</li>
<li>Lead IT projects, coordinating cross-functional and distributed teams and ensuring timely and successful delivery</li>
<li>Uphold, enforce and improve the firm's IT security posture through diligent and rigorous planning and execution of all IT activities.</li>
<li>Seek opportunities for IT automations using workflow builder tools or scripts</li>
<li>Build and cultivate long-term relationships</li>
<li>Manage vendor relationships for support and staying abreast of latest developments</li>
<li>Author and publish high quality documentation and knowledge base articles that serves IT peers and end users</li>
<li>Ability to juggle high volume workstreams, stay agile and reprioritize often are critical to succeed in this role</li>
<li>Drink from the firehose: always learning new technologies, understand new workflows, and always open to feedback to hone your customer service approach and build new technical skills</li>
</ul><h2 class="jobSectionHeader">Minimum Qualifications</h2>
<ul><li>6+ years experience in systems, networking, or security administration and experience in client-facing IT roles with demonstrated track record of excellence and increasing responsibilities</li>
<li>Growth mindset, tech-native, resourceful, optimistic and proactive attitude, always willing to serve in any situation</li>
<li>Strong general troubleshooting skills to diagnose, identify, and resolve technical issues</li>
<li>Critical thinking mindset to analyze complex, multi-dimensional problems and navigate towards a proposed solution</li>
<li>Exceptional communication skills, both verbal and written</li>
<li>Ability to work effectively within the most senior levels of the organization</li>
<li>Aptness to prioritize and execute tasks in a high-pressure environment</li>
<li>Strong MacOS and Windows skills are required</li>
<li>Strong iOS skills are required; Android skills are preferred</li>
<li>Experience with administering a wide breadth of SaaS tools is required (e.g. Okta, JAMF, Google Workspace, etc.)</li>
<li>Experience with client platform engineering is required (e.g. Jamf, Kandji, Intune, etc.)</li>
<li>Experience with networking concepts and protocols is preferred (e.g. switching, routing, DHCP, DNS, RADIUS, etc)</li>
<li>Experience working with Zoom, Zoom Rooms, and integrated Audio/Visual systems is highly preferred</li>
<li>Low ego, high empathy, and the capacity to collaborate effectively with diverse teams</li>
</ul>
The anticipated salary range for this role is between $189,000 - $221,000, actual starting pay may vary based on a range of factors which can include experience, skills, and scope.

This role is eligible to participate in the a16z carry program and various discretionary bonus programs as well as benefit and perquisite plans including health, dental, vision, disability, life insurance, 401K plan, vacation, and sick leave.<div><h2 class="jobSectionHeader">
a16z culture</h2>
<ul><li>We do only first class business and only in a first class way</li>
<li>We take a long view of relationships, because we are in the relationship business</li>
<li>We believe in the future and bet the firm that way</li>
<li>We are all different, we recognize that, and we win</li>
<li>We celebrate the good times</li>
<li>We do it for the team</li>
<li>We play to win</li>
</ul>
At a16z we are always looking to hire the absolute best talent and recognize that diversity in our experiences and backgrounds is what makes us stronger. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. These differences are what enables us to work towards the future we envision for ourselves, our portfolio companies, and the World.

Our organization participates in E-Verify. Click here to learn about E-Verify.

Andreessen Horowitz hereby reserves the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.</div></div>

Partner 18, IT Engineer, San Francisco

Amazon

<div>
 
 Description
 
 
 
 As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks.
 
 
 As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control.
 
 
 This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives.
 </li>
 <li>
 Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes.
 </li>
 <li>
 Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders&rsquo; dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues.
 </li>
 <li>
 Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies.
 </li>
 <li>
 Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors.
 </li>
 <li>
 Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team.
 </li>
 <li>
 Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams.
 </li>
 <li>
 Efficiently manage change order controls, purchase orders, and invoice validation/approvals.
 </li>
 <li>
 Excel at building strong working relationships with internal and external stakeholders across multiple projects.
 </li>
 <li>
 Identify and lead process improvement initiatives that improve the Engineering and cross-teams&rsquo; efficiencies, optimizing the teams&rsquo; value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time.
 </li>
 <li>
 Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
 </li>
 <li>
 4+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
 </li>
 <li>
 Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
 </li>
 <li>
 Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Engineering, Operations, Business Administration, or a related STEM field
 </li>
 <li>
 Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects
 </li>
 <li>
 Experience with Six Sigma and/or Lean Manufacturing
 </li>
 <li>
 Experience with Microsoft Project, Smartsheet programs
 </li>
 <li>
 Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells
 </li>
 <li>
 Proven technical leadership for industrial engineering projects or program
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A2893081
</div>

Operations Engineer, Operations Engineering

Glocomms

<div>
 
 
 Software Engineer, Data &amp; Machine Learning
 
 
 
 
 Location:
 
 Remote, United States
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Compensation:
 
 Starting at $110K
 
 
 
 
 
 We're looking for a Software Engineer, Data &amp; Machine Learning to join a growing engineering team focused on building intelligent, production-grade systems. This role is ideal for an engineer with hands-on experience applying machine learning and deep learning techniques to real-world problems, particularly in areas like computer vision and modern AI models.
 
 
 You'll work closely with other engineers and machine learning practitioners to design, train, and deploy models that operate at scale. This is a hands-on role with meaningful ownership over model development, experimentation, and integration into production systems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize machine learning models for tasks such as image classification, object detection, or related vision problems
 </li>
 <li>
 Experiment with modern deep learning architectures, including convolutional models and transformer-based approaches
 </li>
 <li>
 Contribute to end-to-end ML workflows, from data preparation and training through evaluation and deployment
 </li>
 <li>
 Analyze large, complex datasets to improve model performance and reliability
 </li>
 <li>
 Write clean, well-documented, production-quality code and contribute to shared ML tooling and infrastructure
 </li>
 <li>
 Partner with cross-functional engineering teams to integrate models into live systems
 </li>
 <li>
 Stay current with emerging techniques in machine learning and applied AI
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 2-5 years of experience in Software Engineering, Machine Learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
 </li>
 <li>
 Hands-on experience with deep learning models, particularly in computer vision
 </li>
 <li>
 Solid understanding of supervised learning, model evaluation, and core ML concepts
 </li>
 <li>
 Experience with version control and modern development workflows
 </li>
 <li>
 Ability to work effectively in a collaborative, remote-friendly environment
 </li>
 <li>
 Strong problem-solving skills and a curiosity-driven mindset
 </li>
 <li>
 
 Permanent work authorization in the United States is required
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to transformer-based models or multimodal systems (e.g., vision + language)
 </li>
 <li>
 Familiarity with cloud platforms and containerized environments
 </li>
 <li>
 Experience supporting or deploying models in production
 </li>
 <li>
 Background working with experimentation, model tracking, or reproducible ML pipelines
 </li>
 <li>
 Interest in applying ML techniques to high-impact, real-world use cases
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 <ul>
 <li>
 Base salary starting at $110K
 </li>
 <li>
 Equity participation
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Fully remote role within the United States
 </li>
 <li>
 Emphasis on ownership, technical growth, and modern engineering practices
 </li>
 </ul>
 
 
 
 
 Location Notes
 
 
 This role is fully remote, but candidates must be based in San Francisco, New York City area, Seattle, Miami, or Austin, TX. The company is building teams in selective talent hubs to maintain convenient access to in-person collaboration when needed and to reduce exposure to future return-to-office mandates.
 
 
 
 
 
 At this time, the employer is unable to provide visa sponsorship or support visa transfers. Candidates must already have permanent work authorization in place.
 
</div>

Data Scientist, Computer Vision

Aarki

<div>
 
 Who are we?
 
 
 
 Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
 
 
 
 The role?
 
 
 
 We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.
 
 
 
 What will you do?
 
 
 
 <ul>
 <li>
 Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.
 </li>
 <li>
 Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.
 </li>
 <li>
 Analyze the impact of integrating new data sources and features into our models.
 </li>
 <li>
 Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.
 </li>
 <li>
 Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.
 </li>
 <li>
 Document experiments, assumptions, and outcomes; maintain reproducibility
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Computer Science, or a related technical field.
 </li>
 <li>
 At least 2 years of professional experience in machine learning, statistical analysis, and data analysis.
 </li>
 <li>
 Experience with machine learning techniques such as regression, classification, and clustering.
 </li>
 <li>
 Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Strong grasp of probability, statistics, and data analysis principles.
 </li>
 <li>
 Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Familiarity with system programming languages including C++ and Rust is a plus.
 </li>
 <li>
 Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)
 </li>
 <li>
 Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.
 </li>
 </ul>
</div>

Machine Learning Engineer

ROLLER

<div><h2 class="jobSectionHeader">About ROLLER</h2>

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER! 

<h2 class="jobSectionHeader">
About the Role</h2>

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build &amp; architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&amp;C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally. 


What You'll Do
<ul>
<li>Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.</li>
<li>Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.</li>
<li>Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.</li>
<li>Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.</li>
<li>Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.</li>
<li>Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.</li>
<li>Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.</li>
<li>Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.</li>
<li>Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.</li></ul> 

<h2 class="jobSectionHeader">
About You</h2>

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally. 

<ul>
<li>5+ years of experience in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build</li>
</ul><ul><li>Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.</li>
<li>Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).</li>
<li>Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.</li>
</ul><ul><li>Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.</li>
<li>Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.</li>
<li>Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.</li>
<li>Ability to design high-performance dashboards that prioritize user experience and fast load times.</li>
</ul><ul><li>Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.</li>
<li>Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.</li>
</ul><ul><li>Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.</li>
<li>Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.</li>
<li>Strong communicator with a track record of working across technical and non-technical teams to drive alignment.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.</li>
<li>Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.</li>
<li>Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.</li></ul> 

<h2 class="jobSectionHeader">
Perks!</h2>
<ul><li>You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.</li>
<li>4 ROLLER Recharge days per year (When we hit our goals each quarter, we take a well-earned day off together to relax, recharge, and celebrate our wins).</li>
<li>Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!</li>
<li>Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.</li>
<li>16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.</li>
<li>Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!</li>
<li>Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!</li></ul> 

<h2 class="jobSectionHeader">
What You Can Expect</h2>
<div><ul><li>Initial call with our Talent Acquisition Manager 
You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.</li></ul>
<ul><li>Interview with the Hiring Manager 
You'll get to meet with the hiring manager to learn more about the role &amp; ROLLER whilst also talking through your experience in more detail.</li></ul>
<ul><li>Loop Interviews 
This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture &amp; vibe meet what you are looking for!</li></ul>
<ul><li>Offer 
If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!</li></ul></div></div>

Data Engineer

Genentech

<div><div><div>THE POSITION</div>
A healthier future. It&rsquo;s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That&rsquo;s what makes us Roche.
Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche&rsquo;s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&amp;D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.
Within the CoE organization, the Data and Digital Catalyst organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making.
The Opportunity:
The Research &amp; Early Development Senior Principal Engineer/Architect is a well-established, highly capable and credible architect who will contribute to and drive the implementation of a modern enterprise architecture strategy across Research and Early Development to build a modern, cohesive, scalable, and flexible technology stack that supports the ecosystem of platforms and systems as well as enabling seamless data flow and integration. In this role you will be the key architectural driver responsible for translating our long-term vision into pragmatic execution, enabling critical scientific use cases today while building the foundation for the next generation of automation, AI-enabled biology and drug discovery.
You will contribute to the development of architecture principles and frameworks that underpin the delivery of seamless digital journeys and modern corporate capabilities. You will leverage your understanding of Pharma Research &amp; Early Development to shape and guide how our core systems and platforms are built to power scalable research infrastructure, ensure operability, and enable cutting edge computational capabilities. The role balances scientific-centric design with robust enterprise integration, data privacy, and regulatory compliance. We strive to transform our digital landscape in order to advance the delivery of more innovative and transformative medicines for patients worldwide.
In this role, you will partner with scientists and engineers to shape transformation programs, digital service enhancements, and continuous improvement initiatives. You will support enterprise-wide architecture governance and decision making.
You will make pivotal contributions to the future of the CoE and Research and Early Development by:<ul><li>
Contributing to the definition and building of a modern enterprise architecture vision with standards, governance, and reusable design patterns.</li><li>
Driving the adoption of modern architectural principles and reference architectures that facilitate integration, automation, and AI/ML enablement across the organization.</li><li>
Evaluating and embedding cutting-edge technologies and forward-thinking architectural strategies to support future research and early development needs.</li><li>
Leading the transformation of bespoke legacy systems and complex tech stacks into modern, modular, and service-oriented ecosystems.</li><li>
Establishing best practices for compliance, data security, and privacy, while fostering a culture of collaboration with partners across Roche Informatics, gRED, and pRED.</li><li>
Driving the architecture for large-scale strategic initiatives and application development projects to facilitate the effective acquisition, processing, and sharing of scientific information.</li></ul>
Who You Are:
We are looking for a leader with the following qualifications and experience:<ul><li>
You hold a BSc degree (MS or PhD preferred) in a scientific or technical field with 8+ years of experience (Senior Principal Engineer); BSc degree (MS or PhD preferred) with 10&ndash;12+ years of experience (Enterprise Architect).</li><li>
Experience as a matrix leader is a plus.</li><li>
You have proven experience in enterprise and solution architecture, including translating strategic vision into actionable solution designs and implementation blueprints in large, complex, regulated organizations, ideally in the healthcare or biotech domain.</li><li>
You possess strong knowledge in enterprise systems, data, and information architectures across cloud, hybrid, and on-premise environments.</li><li>
Familiarity with AWS is a plus.</li><li>
You have a strong understanding of modern digital technologies, including microservices, event-driven systems, AI/ML platforms, and modern DevSecOps practices.</li><li>
You have an understanding of how data is generated, processed, and leveraged to inform scientific decisions in Pharma Research &amp; Early Development.</li><li>
You have demonstrated experience in mentoring, influencing, and guiding technical peers and collaborating effectively with multidisciplinary teams.</li><li>
You have a proven ability to design and drive the delivery of complex computational projects, ensuring efficiency, scalability, and reproducibility.</li><li>
You are a strong communicator with the ability to clearly document and present architectural designs and options to technical teams and business stakeholders.</li></ul>
Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.
The expected salary range for this position based on the primary location of South San Francisco, California is $189,300 - $351,500 (Senior Principal Engineer) and $217,400 - $403,700 (Enterprise Architect). Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
Benefits
#LI-JD1
#ComputationCoE
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Mar 2nd 2026
</div><div>Job ID
202602-105168</div></ul></div></div></div></div>

Research & Early Development Enterprise Architect

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