The salary range for this role is $50,000 - $95,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Principal Machine Learning Engineerwho is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

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​​About the Role:

We're looking for a savvy and experienced Senior Analytics Engineerto build seamless data products in collaboration with our data engineering, analytics, engineering, business, and product management teams.

You Will:

• Take the data products to the next level by developing scalable data models 
• Manage transformations of data after load of raw data through both technical processes and business logic
• Create an inventory of the data sources and documents needed to implement self-service analytics
• Define quality standards of the data and partner with the analytics team to define minimum acceptance criteria for the data sources
• Data cataloging & documentation of the data sources
• Regularly meet with business partners and analytics teams to understand and solve data needs, short-term and medium-term
• Build trust with internal stakeholders to encourage data-driven decision-making
• Work with all organizations to continually grow the value of our data products by onboarding new data from our backend and 3rd party system

You Have:

• 8+ years of experience with SQL, preferably for data transformation or analytical use cases
• 4+ years of experience building scalable data models for analytical and BI purposes
• 3+ years of solid experience with dbt
• Mastery of data warehouse methodologies and techniques from transactional databases to dimensional data modeling, to wide denormalized data marts
• Solid experience with BI tools like Tableau and Looker
• Experience using version control (command-line, Git)
• Familiarity with one of the data warehouses like Google Big Query, Snowflake, Redshift, Databricks
• Domain expertise in one or more of the Finance, Product, Marketing, Operations, Customer Experience
• Demonstrated experience engaging and influencing senior leaders across functions, including an ability to communicate effectively with both business and technical teams
• Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions and recommendations to drive actions
• Ability to articulate vision, mission, and objectives, and change the narrative appropriate to the audience
• Experience working with management to define and measure KPIs and other operating metrics
• Understanding of SDLC and Agile frameworks
• Project management skills and a demonstrated ability to work autonomously

Nice to Have:

• Experience working in telehealth or e-commerce
• Previous working experience at startups
• Knowledge of Python programming
• Knowledge of Airflow, and modern data stack (Airflow, Databricks, dbt, Fivetran, Tableau / Looker)
• ML training model development

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

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The Team:

Our team is responsible for building the Celonis’end-to-end Task Mining solution. Task Mining is the technology that allows businesses to capture user interaction (desktop) data, so they can analyze how teams get work done, and how they can do it even better. We own all the related components, e.g. the desktop client, the related backend services, the data processing capabilities, and Studio frontend applications.

The Role:

Celonis is looking for a Staff Data & Machine Learning Engineer to improve and extend our existing Task Mining ETL pipeline as well as build production ready AI based features into the Task Mining product. You will be owning the solution to simplify the extraction of insights from task mining data. This role demands a blend of expertise in data engineering, software development, and machine learning, utilizing Python. 

The work you’ll do:

• Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets
• Drive the development of AI-powered features and applications from scratch within the Task Mining product
• Implement data strategies and develop data models
• Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy
• Leverage machine learning techniques to provide actionable insights and recommendations for process optimization
• Write performant, scalable and easy to understand SQL queries and optimize existing ones
• Learn PQL (Process Query Language – Celonis’ own language for analytical formulas and expressions) and use it to query data from our process mining engine
• Own the implementation of end to end solutions: leading the design, implementation, build and delivery to customers
• Provide technical leadership and mentorship to other engineers and team members
• Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing

The qualifications you need:

• 8+ years of practical experience in a Computer Science/Data Science related field
• Or PhD in Data Science/AI/ML area with 5+ years of practical experience 
• Experience with building production ready and scalable AI/ML applications in the python ecosystem
• Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability
• Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design
• Excellent command of SQL, including query optimization principles
• Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype and efficiently explain it to diverse stakeholders
• Experience with containerization and CI/CD pipelines (e.g. Docker, Github Actions)
• Interest in learning new technologies (e.g. PQL language and Object Centric Process Mining)
• Strong communication and collaboration skills (English is a must)
• Able to supervise and coach mid-level and senior colleagues
• Knowledge of Column-oriented DBMS (e.g. Vertica) and its specific features would be beneficial
• Nice to have is knowledge in the frameworks Tensorflow, Pytorch, Langchain, FastAPI, SQLAlchemy 

Who we are

Are you passionate about innovating at the intersection of technology and personal security? At Pindrop, we recognize that the human voice is a unique personal identifier, increasingly susceptible to sophisticated fraud, including the threat of deepfakes. We're leading the way in developing cutting-edge authentication, fraud prevention, and deepfake detection. Our mission is to provide seamless and secure digital experiences, safeguarding the most personal aspect of our identity: our voice. Here, you'll be part of a team driven by values of Innovation, Customer Advocacy, Excellence, and Impact. We're not just creating a safer digital landscape by fortifying trust and integrity with those we serve, we’re also building a dynamic, supportive workplace where your contributions make a real difference.

Headquartered in Atlanta, GA, Pindrop is backed by world-class investors such as Andreessen-Horowitz, IVP, and CapitalG.

What you’ll do

As a Senior Software Engineer, you will play a critical role in the development and maintenance of software applications and systems. You will be responsible for leading and contributing to complex software projects, providing technical expertise, and mentoring junior engineers. You will expand capabilities, bring new solutions to market. As a member of the MLOps team you will be responsible for systems which train models and produce predictions.

More specifically, you will:

• Software Development: Design, develop, test, and maintain our complex software applications, ensuring high-quality code and adherence to best practices. Play a critical role in the development and maintenance of our software products by designing, building, evolving, and scaling state-of-the-art solutions for our Pindrop platform.
• Technical Leadership: Provide technical leadership and guidance to junior engineers and the development team, including code reviews, architecture decisions, and mentoring. 
• Architecture and Design: Contribute to the design and architecture of software systems, ensuring scalability, maintainability, and performance
• Problem Solving: Analyze and solve complex technical problems, and make recommendations for improvements and optimizations.
• Quality Assurance: Implement and advocate for best practices in testing and quality assurance, including unit testing, integration testing, and automated testing.
• Code Review: Participate in code reviews and provide constructive feedback to ensure code quality and consistency.
• Research and Innovation: Stay current with emerging technologies, tools, and programming languages and apply them where relevant to improve software development processes.
• Security and Compliance: Ensure software adheres to security standards and compliance requirements, addressing vulnerabilities and potential risks.
• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
• Data science model review: run code and refactor, optimize, containerize, deploy, version, and monitor its quality
• Validate and add automated tests for Data Science models
• Work closely with a team of researchers and data scientists to productionize and document research innovations

Who you are

• You are resilient in the face of challenges, change, and ambiguity
• You are optimistic and believe that you can make a problem into a solution
• You are resourceful, excited to uncover innovative solutions and teach yourself something new when needed
• You take accountability, do the things you say you’ll do, under-promise and over-deliver
• You are a strong problem-solver with excellent analytical skills.
• You are an owner and enjoy taking on project leadership as well as mentorship
• You are a strong verbal and written communicator 

Your skill-set: 

• Must Have
• 5-7 Years of Software engineering experience
• Experience with cloud computing environments, especially AWS and container-based deployment using Docker and Kubernetes
• Experience working with python 2-3 years minimum 
• Experience operating services in production environments
• A strong understanding of software design principles, software architecture and design patterns as well as software development best practices, including testing, version control, and continuous integration
• Experience with infrastructure as code tools like Terraform or AWS CDK
• Experience in monitoring and performance of Production platforms using tech stacks and tools such as Datadog, ELK, Grafana, Prometheus
• Participation in on-call rotation required
• Nice to Have
• Experience with Machine Learning frameworks and libraries such as XGBoost, SciKit-Learn, H2O, TensorFlow, PyTorch, Keras, Spark MLlib
• Experience with leading industry Machine Learning tools and operation frameworks such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing
• Experience building microservices and RESTful APIs
• CI/CD pipelines using tools such as GIT, Jenkins.

What’s in it for you:

As a Pindropper, you join a rapidly growing company making technology more human with the power of voice. You will work alongside some of the best and brightest. We’re a passionate group committed to excellence - but that doesn’t stop us from enjoying the journey as a team with chess and poker tournaments, catered lunches and happy hours, wellness programming, and more. Because we take our jobs seriously, we add in time for rest with Unlimited PTO, Focus Thursday, and Company-wide Rest Days. 

0-30 (Acclimating)

• Complete onboarding and attend New Employee Orientation sessions with other new Pindroppers
• Onboard in the MLOps Team
• 1:1s with all the team members
• Get started with your first project, first PR merged

30-60 (Learning)

• Be a part of planning and contribute to the smaller tasks to fix existing issues
• Be a part of triaging only the most important issues for the team to be focusing on
• Add small features/resolve tech debt for the MLOps team

60-90 (Assimilating)

• Fully acclimated with the team
• Be able to pick up any task that comes out of sprint planning
• Be able to design enhancements to the ML platform
• Teach us something new

What we offer 

As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer:

• Competitive compensation, including equity for all employees
• Unlimited Paid Time Off (PTO)
• 4 company-wide rest days in 2024 where the entire company rests and recharges!
• Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
• Best-in-class Health Savings Account (HSA) employer contribution
• Affordable vision and dental plans for you and your family
• Employer-provided life and disability coverage with additional supplemental options
• Paid Parental Leave - Equal for all parents, including birth, adoptive & foster parents
• One year of diaper delivery for your newest addition to the family! It’s our way of welcoming new Pindroplets to the family!
• Identity protection through Norton LifeLock
• Remote-first culture with opportunities for in-person team events
• Recurring monthly home office allowance
• When we need a break, we keep it fun with happy hours, ping pong and foosball, drinks and snacks, and monthly massages!
• Remote and in-person team activities (think cheese tastings, chess tournaments, talent shows, murder mysteries, and more!)
• Company holidays
• Annual professional development and learning benefit
• Pick your own Apple MacBook Pro
• Retirement plan with competitive 401(k) match
• Wellness Program including Employee Assistance Program, 24/7 Telemedicine

What we live by

At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work:    

• Audaciously Innovate - We continue to change the world, and the way people safely engage and interact with technology. As first principle thinkers, we challenge standards, take risks and learn from our mistakes in order to make positive change and continuous improvement. We believe nothing is impossible.
• Evangelical Customers for Life - We delight, inspire and empower customers from day one and for life. We create a partnership and experience that results in a shared passion.   We are champions for our customers, and our customers become our champions, creating a universal commitment to one another. 
• Execution Excellence - We do what we say and say what we do. We are accountable for making the tough decisions and necessary tradeoffs to deliver quality and effective solutions on time.
• Win as a Company - Every time we win, we win as a company. Every time we lose, we lose as a company. We break down silos, support one another, embrace diversity and celebrate our successes. We are better together. 
• Make a Difference - Every day we have the opportunity to make a positive impact. We operate with dedication, passion, and uncompromising integrity, creating a safer, more secure world.

Not sure if this is you?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

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Your impact

Handshake is hiring a Tech Lead Manager, Machine Learning with a focus on Generative AI and Recommendations reporting to our Head of Core Relevance. 

AI is the future and we are excited to further invest in providing AI resources for our users on our platform. Is it possible to thoughtfully design a responsible, AI-driven product that can help our students progress from educational aspirations to career achievements?  In this role, you will work on tackling that goal as part of a lean, high-visibility team. You will be responsible for helping advance our AI product and infrastructure vision towards our mission of democratizing opportunity for millions of students on Handshake.

You will be part of a high-impact org that has already built a Data platform housing billions of data points, with cutting-edge production systems such as embedding-based retrieval, Graph Neural Networks, Fine-Tuned LLMs, and multi-stage rankers.  You will level up existing ML systems and drive marketplace metrics, while also accelerating greenfield AI-based products such as Social/Feed.  We’ll do all of this responsibly, with developed workstreams around Explainability, Fairness, and Quality.

Your role

• You will be a Force Multiplier - setting technical direction, shaping engineering culture, identifying and adopting industry best practices, designing effective partnerships across the company, mentoring and coaching direct reports / peers, and more. 
• You will be a Leader-  managing a lean team of machine learning engineers and data scientists while enabling effective collaboration, high-quality execution, and technical excellence across the Data organization
• You will be an Innovator -  developing algorithms and Machine Learning systems that connect users across the Handshake marketplace; from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.
• You will be a Collaborator -being an effective partner to product managers; you will work with product managers in driving new user experiences through Machine Learning and Natural Language Processing and build experiments that drive key product decisions and provide invaluable insights.

Your experience

You are an experienced, hands-on senior engineering leader with extensive experience identifying problems, coming up with technical solutions, and driving projects to completion. You care about culture, mentorship, and collaboration just as much as you care about coding, architecture, and technical design. You have an extreme user-focus, you are comfortable with ambiguity, you can drive alignment, and you make thoughtful data-driven decisions. 

• Basic Qualifications
• Bachelor’s degree in Computer Science or related technical field or equivalent technical experience.
• 4+ years of industry ML experience as TL or TLM
• Preferred Qualifications:  
• MS/Ph.D. in Machine Learning, Statistics or a related field 
• 7+ years of industry ML experience as TL or TLM
• End-to-End experience building web-scale AI systems, feature stores, microservices
• Background in one or more of the following areas of machine learning: recommendations, optimization, natural language processing (NLP), deep learning, LLMs, explainable AI
• Experience building applications atop of IAAS (Google Cloud Platform, Amazon Web Services, Azure Cloud Services, etc.)
• Experience working directly with cross-functional teams such as product management, analytics, engineering, and design.
• Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to an out-of-domain audience (e.g. presenting findings and deep-dives to senior leadership).

Compensation range

• $235,000-$260,000

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

????London / UK Remote | ???? £140,000 - £165,000 + Share Options |Benefits|Technology

About this role:

We’re looking for somebody with deep experience building, scaling, and tuning complex search products. We’re rethinking the search experience in Monzo to enable 10 million customers to find what they’re looking for – transactions, products, help articles, people, and more – in as few keystrokes as possible. 

This role sits in our Core Banking product collective, collaborating closely with ML Platform and a range of product teams across the business with a stake in how search results are ranked and displayed. You’ll be a key influence in the long-term product strategy for search at Monzo.

Initially, you’ll own 3 key challenges:

1. Launch a global search experienceworking end-to-end from customer experience in our mobile apps to backend systems, indexes, and data pipelines
2. Scale search to support all Monzo’s account types (incl. Business Banking, US) and internationalisation
3. Optimise resultswith machine learning models and build feedback loops to measure search performance (e.g. latency and relevance) 

As a Staff Engineer:

A Staff Engineer at Monzo is a technical (IC) leadership position. As a Staff Engineer in the Core Banking collective, you will:

• Partner with engineering leadership in the collective and provide technical leadership on the search domain across Monzo’s broader engineering organisation.
• Work collaboratively with leaders in product, data, research, and design to identify and execute on opportunities that further the organisation’s goals and strategy.
• Oscillate between contributing to high-level planning and strategy and organisational leadership and diving deep into the execution of problems and getting hands-on.
• Use your expert knowledge and experience to lead architectural discussions for the most complex systems in the collective. 
• Keep a high bar for technical excellence in the collective, through your own work, highlighting the work of others and calling out when things haven’t quite met the bar.
• Pro-actively mentor, sponsor and up-level engineers.

What you’ll be using: 

We rely heavily on the following tools and technologies, please note direct experience in these technologies is not required and our interview process can be completed in any language:

• Go to write our application code (there’s an excellent interactive Go tutorial here)
• Cassandra for most persistent data storage
• Kafka for our asynchronous message queue
• Kubernetes and Docker to schedule and run our services 
• AWS for most of our production infrastructure and GCP for most of our data infrastructure.
• OpenSearch for our first iteration of search infrastructure

????We’d love to hear from you if… 

• You have a track record of technical excellence, delivering resilient systems, ideally behind consumer products.
• You have real-world experience working with Machine Learning specialists on search ranking problems.
• You solve problems end-to-end, from client applications to backend infrastructure.
• You have led technically across 3-4 teams to deliver customer-facing features that leverage ML.
• You have a quantitative mindset: you care about outcomes and you make data-informed decisions.
• You’re comfortable working in a cross-functional team that deals with ambiguity and have experience helping your team and partner teams resolve that ambiguity.
• You have demonstrable experience working with stakeholders, especially non-technical stakeholders at the senior level.

????What’s in it for you

????£140,000 - £165,000 ➕ share options.

✈️ We’ll help you relocate to the UK.

✅ We can sponsor your visa. 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) 

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit
you and your team. 

????£1,000 learning budget each year to use on books, training courses and conferences.

????We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

???? The application journey has 4 key steps

Our interview process for this role has four main stages, most of which can be scheduled on the same day: 

1. Initial Call 
2. System Design Interview 
3. Pair coding exercise 
4. Final interview including a behavioural and a leadership interview 

You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

One of our staff engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.

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