flip fit

Senior Machine Learning Engineer - Machine Learning Infrastructure

Product Manager - Content Ecosystem

Senior Machine Learning Engineer

Machine Learning Engineer

Data Scientist

As a Senior Machine Learning Engineer at Flip.shop, you will design, build, and optimize the infrastructure for machine learning systems. This includes ensuring the efficient deployment, scaling, and monitoring of machine learning models. You will be responsible for developing scalable, production-level systems that support real-time recommendations and drive business growth. The role involves designing and implementing infrastructure for deploying and maintaining machine learning models, optimizing model training and serving, building tools for automation, optimizing performance, collaborating with various teams, and ensuring security and compliance. You will be working with cutting-edge infrastructure that powers personalized shopping experiences for millions of users, contributing directly to scaling our machine learning systems.

<div><b style="font-size: 16px;">Senior Machine Learning Engineer - Machine Learning Infrastructure</b></div><div><b style="font-size: 16px;">Location: </b><span style="font-size: 16px;">based in NYC or US remote</span></div><div><br></div><div><a rel="noopener noreferrer" class="postings-link" style="font-size: 16px;" href="http://Flip.shopAbout"><b>About</b></a><b style="font-size: 16px;">&nbsp;</b><a rel="noopener noreferrer" class="postings-link" style="font-size: 16px;" href="http://Flip.shop"><b>Flip.shop</b></a><b style="font-size: 16px;">:</b></div><div><span style="font-size: 16px;">Welcome to Flip.shop, where innovation meets the social commerce revolution! Fresh off our Series C funding round, we've raised $144 million, propelling our valuation to an impressive $1.05 billion. We’re redefining the shopping experience by giving consumers a voice in a space dominated by tech giants. Join us on this exhilarating journey where your technical skills will play a pivotal role in shaping the future of social commerce!</span></div><div><br></div><div><b style="font-size: 16px;"><u>Why Join Us?</u></b></div><div><span style="font-size: 16px;">At Flip.shop, you’ll be at the forefront of innovation in social commerce. This isn’t just a job—it’s a chance to build infrastructure that empowers our AI-driven platform to scale and deliver personalized shopping experiences. You will have the opportunity to directly partner, work with and learn from the very best engineers and scientists who joined us from some of the leading big-tech companies!&nbsp;</span></div><div><span style="font-size: 16px;">If you thrive in a fast-paced, collaborative environment where you can develop high-performance systems, we want to hear from you!</span></div><div><br></div><div><b style="font-size: 16px;"><u>Role Overview:</u></b></div><div><span style="font-size: 16px;">We are seeking a </span><b><span style="font-size: 16px;">Senior Machine Learning Engineer - Machine Learning Infrastructure </span></b><span style="font-size: 16px;">to design, build, and optimize the infrastructure that powers our machine learning systems. You’ll ensure the efficient deployment, scaling, and monitoring of machine learning models, and will help streamline the development lifecycle. This role offers the opportunity to create scalable, production-level systems that support real-time recommendations and drive business growth.</span></div><div class="section page-centered"><div><h3>Responsibilities:</h3><ul class="posting-requirements plain-list"><ul><li><b>Infrastructure Development</b>: Design and implement scalable infrastructure for deploying, monitoring, and maintaining machine learning models in production environments. Design and implement machine learning systems for <b>feeds, ads, and search ranking models</b>.</li><li><b>Training Infrastructure: </b>Optimize the serving and training infrastructure of machine learning models.</li><li><b>Model Training: </b>Enhance the workflow for model training and serving, data pipelines, storage systems, and resource management within multi-tenancy machine learning systems.</li><li><b>Tooling &amp; Automation</b>: Build tools to automate workflows for model training, testing, and deployment, ensuring that machine learning models can move quickly from development to production.</li><li><b>Performance Optimization</b>: Ensure the infrastructure supports high-performance model inference at scale, with a focus on minimizing latency and maximizing throughput.</li><li><b>Collaboration</b>: Work closely with data scientists, machine learning engineers, and DevOps teams to create seamless integration between development and production environments.</li><li><b>Monitoring &amp; Maintenance</b>: Build robust monitoring systems to track model performance and infrastructure health, ensuring reliability and uptime of machine learning services.</li><li><b>Security &amp; Compliance</b>: Implement best practices in infrastructure security, data privacy, and compliance, particularly when handling sensitive user data.</li></ul></ul></div></div><div class="section page-centered"><div><h3>Requirements:</h3><ul class="posting-requirements plain-list"><ul><li><b>Education: </b>Bachelor's degree or higher in Computer Science or a related field, with 3+ years of experience in building scalable systems.</li><li><b>Technical Skills</b>: Proficiency in one or two programming languages (C/C++, Golang) within a Linux environment.</li><li>Solid understanding of GPU hardware architecture, GPU software stack (CUDA, cuDNN), and experience in GPU performance analysis.</li><li>Experience in deep model inference/training, debugging, and tuning.</li><li><b>ML Workflow Knowledge</b>: Familiarity with mainstream machine learning frameworks (e.g., TensorFlow, PyTorch, MxNet). </li><li>Familiarity with MLOps practices.</li><li>Experience with big data frameworks (e.g., Spark, Hadoop, Flink) and resource management and task scheduling for large-scale distributed systems.</li><li><b>Open-source: </b>Experience in using or designing open-source machine learning lifecycle management systems like TFX.</li></ul></ul></div></div><div class="section page-centered"><div><h3>Key Skills</h3><ul class="posting-requirements plain-list"><ul><li>Excellent logical analysis and problem-solving skills with the ability to abstract and decompose complex business logic.</li><li>Strong sense of responsibility, good learning ability, communication skills, and self-motivation, with the ability to respond and act quickly.</li><li>Good working document habits, with timely writing and updating of workflow and technical documentation.</li></ul></ul></div></div><div class="section page-centered" data-qa="closing-description"><div><b style="font-size: 16px;">Why You’ll Love Working Here:</b></div><div><span style="font-size: 16px;">At Flip.shop, you’ll have the opportunity to build the backbone of our AI-driven platform, working on cutting-edge infrastructure that powers personalized shopping experiences for millions of users. Your work will directly contribute to scaling our machine learning systems, ensuring they run efficiently in a high-performance production environment. This is your chance to have a lasting impact and help Flip.shop shape the future of social commerce.</span></div><div><br></div><div><b style="font-size: 16px;">Ready to Build the Future?</b></div><div><span style="font-size: 16px;">If you're passionate about building scalable infrastructure and driving innovation in machine learning at scale, join us at Flip.shop! Let’s redefine the future of online shopping together.</span></div><div><br></div><div><b style="font-size: 16px;">Compensation &amp; Benefits:</b></div><div><span style="font-size: 16px;">Base salary and total compensation will vary based on factors including but not limited to location, experience, and performance. Please note the base salary is just one component of the company’s total rewards package for exempt employees. Other rewards may include equity, bonuses, long term incentives, a PTO policy, and other progressive benefits.</span></div>

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Salesforce

Sr. Director, Marketing Cloud GTM Sales and Partner Success

SVP, Global EBOU Sales

Named Account Executive - Ontario Agency/Board/Commission

Solution Architect

Industries Associate Product Marketing Manager

Senior Technical Architect

Premier Success, Sales Executive-2

Software Engineering MTS

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Salesforce is the #1 AI CRM, where humans with agents drive customer success together. This role is for a Sr. Director, Marketing Cloud GTM Sales and Partner Success. The position involves establishing alignment programs with Sales Operations and Distribution Leaders, driving collaboration with Product Marketing and partners, and ensuring alignment between Marketing Cloud product strategy and GTM efforts to maintain pipe generation, ACV growth, customer retention, and product adoption. The role also focuses on data-driven GTM strategy, scalable sales programs, and comprehensive enablement for sales teams and partners.

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing wellanddoing good – you've come to the right place.

Account Executive - ESMB, Singapore

<p class="my-4 text-gray-700 leading-relaxed">_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Salesforce</h3><p class="my-4 text-gray-700 leading-relaxed">Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.</p><p class="my-4 text-gray-700 leading-relaxed">Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Running GTM Programs for Marketing Cloud</li><li class="leading-relaxed">Establish alignment programs with Sales Operations and Distribution Leaders</li><li class="leading-relaxed">Drive ongoing collaboration with Product Marketing, Sales Operations, Distribution Leaders, and key partner liaisons for regular Run the Business motions that ensure alignment between Marketing Cloud product and strategy and GTM to maintain pipe generation, ACV growth, customer retention, and product adoption and success</li><li class="leading-relaxed">GTM Strategy & Execution:</li><li class="leading-relaxed">Run a data driven GTM program that evaluates the evolving market and sales conditions and pro-actively drives decisions in alignment with key stakeholders to keep the business in the best possible position and alignment with distribution needs and execution.</li><li class="leading-relaxed">Build scalable programs that create up to date and executable sales plays that represent the latest product strategy and position Marketing Cloud for ongoing growth and success</li><li class="leading-relaxed">Lead the development and implementation of a comprehensive enablement strategy for Marketing Cloud in coordination with Product Marketing.</li><li class="leading-relaxed">Ensure effective enablement of Solution Engineering, Account Executives, Customer Success, and Partners on Marketing Cloud products, solutions, and value propositions.</li><li class="leading-relaxed">Sales & Partner Support Systems and Programs:</li><li class="leading-relaxed">Manage and resolve sales escalations efficiently, ensuring timely and effective resolution, including using agents and AI to scale.</li><li class="leading-relaxed">Develop and implement scaled Solution Engineering (SE) demo and environment programs to support sales efforts that lead Marketing Cloud into a sustainable growth phase and drive convergence to Marketing Cloud Next</li><li class="leading-relaxed">Establish and optimize deal support processes for front-line sales staff and management.</li><li class="leading-relaxed">Content & Program Development:</li><li class="leading-relaxed">Create and disseminate roadmap enablement and distribution programs for both internal teams and external partners.</li><li class="leading-relaxed">Develop and implement Transformation Plan Enablement programs for internal stakeholders and partners, fostering successful adoption and utilization of Marketing Cloud solutions.</li><li class="leading-relaxed">Work closely with Adoption and Best Practices teams to establish and leverage materials to create Trailhead and Certification programs for Sales and Partners.</li><li class="leading-relaxed">Experience:</li><li class="leading-relaxed">Proven experience in a senior leadership role within a Go-to-Market (GTM) or sales enablement function, preferably within the cloud software industry.</li><li class="leading-relaxed">Demonstrated success in driving ACV growth through sales and partner programs.</li><li class="leading-relaxed">Extensive experience working with sales teams (Account Executives, Solution Engineers) and channel partners.</li><li class="leading-relaxed">Skills:</li><li class="leading-relaxed">Strong understanding of Marketing Cloud technologies and the broader MarTech landscape.</li><li class="leading-relaxed">Exceptional communication, presentation, and interpersonal skills.</li><li class="leading-relaxed">Ability to build strong relationships and influence stakeholders at all levels.</li><li class="leading-relaxed">Strategic thinker with a hands-on approach to program execution.</li><li class="leading-relaxed">Proven ability to manage complex projects and drive results in a fast-paced environment.</li></ul><p class="my-4 text-gray-700 leading-relaxed">Unleash Your Potential</p><p class="my-4 text-gray-700 leading-relaxed">When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <em>be your best</em>, and our AI agents accelerate your impact so you can <em>do your best</em>. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.</p><p class="my-4 text-gray-700 leading-relaxed">Accommodations</p><p class="my-4 text-gray-700 leading-relaxed">If you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Accommodations Request Form</a></p><p class="my-4 text-gray-700 leading-relaxed">.</p><p class="my-4 text-gray-700 leading-relaxed">Posting Statement</p><p class="my-4 text-gray-700 leading-relaxed">Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Know your rights: workplace discrimination is illegal.</a></p><p class="my-4 text-gray-700 leading-relaxed">Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p><p class="my-4 text-gray-700 leading-relaxed">In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.</p><p class="my-4 text-gray-700 leading-relaxed">For Washington-based roles, the base salary hiring range for this position is $230,700 to $351,800.</p><p class="my-4 text-gray-700 leading-relaxed">For California-based roles, the base salary hiring range for this position is $251,900 to $384,100.</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.