&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we&#39;ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you&#39;ll join us!&lt;/p&gt;&lt;/div&gt;&lt;p&gt;The&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;strong&gt;ML Platform Engineering team&lt;/strong&gt;&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;at Afresh is responsible for building and maintaining the foundational infrastructure and tooling that powers all of our machine learning and applied science solutions. We provide the shared components and services that enable our teams to develop, deploy, and scale robust ML models. This includes a performant data API, configurable featurization, reliable forecasting systems, highly parallel optimization engines, and scalable training pipelines, and deep experimentation capabilities. As our product suite and customer base grow, so does the scale and complexity of what our platform needs to support, gracefully accommodating predictions and simulations across various time scales (hours, days, weeks), complex data hierarchies (pallets on a truck, shelves of mangos in a store, chunks of fruit in a bowl), and endless configuration possibilities (average shelf fullness, backroom loads, truck capacities).&lt;/p&gt;
&lt;h4&gt;About the Role&lt;/h4&gt;
&lt;p&gt;As an&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;strong&gt;ML Platform Engineer&lt;/strong&gt;&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. You&#39;ll work on the critical infrastructure that directly enables all of Afresh&#39;s Machine Learning and Applied Science teams to innovate faster and deliver impact. Your contributions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You&#39;ll Do:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;In your first 3 months&lt;/strong&gt;, you might deliver a project that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;By the end of your first 6 months&lt;/strong&gt;, you will have owned the design and implementation of significant scalability improvements and additions to our ML platform. This might include new feature pipelines that power our recommendation engine, or work to stand up the first instance of real-time inference at Afresh.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;Skills and Experience&lt;/h4&gt;
&lt;ul&gt;
&lt;li&gt;BS in Computer Science or a relevant technical field.&lt;/li&gt;
&lt;li&gt;7+ years of professional software development experience with a proven track record of shipping high-quality applications and services.&lt;/li&gt;
&lt;li&gt;Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models.&lt;/li&gt;
&lt;li&gt;Technical leadership experience and a demonstrated ability to mentor junior engineers.&lt;/li&gt;
&lt;li&gt;Deep expertise in library design, API design, data structures, and algorithms.&lt;/li&gt;
&lt;li&gt;Strong familiarity with&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;strong&gt;Python&lt;/strong&gt;.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Tech Stack:&lt;/strong&gt;&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;Our backend is pure Python (NumPy, Pandas, Torch, PySpark, Cython, orchestrated in Airflow). We use Databricks as our data warehouse. While we&#39;d like you to have very good familiarity with Python, many of our problems are stack-agnostic.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Salary Band in USD:&lt;/p&gt;
&lt;p&gt;&lt;iframe src=&quot;https://storage.googleapis.com/pave-band-share-bucket/main.html?min=186000&amp;amp;max=225000&amp;amp;currency=USD&amp;amp;meta=JTdCJTIyY29tcGFueUlkJTIyJTNBJTIyYWZyZXNoMnRtWDVCc0FaZ041aE0xc3NNVDAlMjIlMkMlMjJiYW5kSWQlMjIlM0ElMjIwMUdNVE1aWEFWS0ZCN0NIM0tOOEMwWUdIRiUyMiU3RA==&quot; width=&quot;250px&quot; height=&quot;80px&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Salary Band in CAD:&lt;/p&gt;
&lt;p&gt;&lt;iframe src=&quot;https://storage.googleapis.com/pave-band-share-bucket/main.html?min=163000&amp;amp;max=200000&amp;amp;currency=USD&amp;amp;meta=JTdCJTIyY29tcGFueUlkJTIyJTNBJTIyYWZyZXNoMnRtWDVCc0FaZ041aE0xc3NNVDAlMjIlMkMlMjJiYW5kSWQlMjIlM0ElMjIwMUdNVE1aWEFWS0ZCN0NIM0tOOEMwWUdIRiUyMiU3RA==&quot; width=&quot;250px&quot; height=&quot;80px&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;About Afresh&lt;/strong&gt;&lt;br&gt;&lt;br&gt;Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we&#39;re helping grocers provide fresher food to customers at more affordable prices. &lt;br&gt;&lt;br&gt;Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we&#39;ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt&#39;s Innovation Endeavors.&lt;/p&gt;
&lt;p&gt;Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.&amp;nbsp;&lt;br&gt;&lt;br&gt;Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.&lt;/p&gt;&lt;/div&gt;

Staff ML Platform Engineer

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we&#39;ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you&#39;ll join us!&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;About the Role&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.&lt;/li&gt;
&lt;li&gt;Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.&lt;/li&gt;
&lt;li&gt;Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.&lt;/li&gt;
&lt;li&gt;Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.&lt;/li&gt;
&lt;li&gt;Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.&lt;/li&gt;
&lt;li&gt;Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.&lt;/li&gt;
&lt;li&gt;Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What Makes You a Great Fit&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Significant experience designing and maintaining ETLs that process large-scale datasets.&lt;/li&gt;
&lt;li&gt;Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.&lt;/li&gt;
&lt;li&gt;Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.&lt;/li&gt;
&lt;li&gt;A focus on practical outcomes—you&#39;re skilled at balancing technical rigor with the need to get things done.&lt;/li&gt;
&lt;li&gt;Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.&lt;/li&gt;
&lt;li&gt;A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.&lt;/li&gt;
&lt;li&gt;Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences.&lt;/li&gt;
&lt;li&gt;Proven leadership in technical projects, with a willingness to mentor and help others grow.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Why Work Here&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year.&lt;/li&gt;
&lt;li&gt;Work on challenging, real-world problems that have a direct impact on our customers.&lt;/li&gt;
&lt;li&gt;Be part of a collaborative, supportive team where your ideas are valued and acted on.&lt;/li&gt;
&lt;li&gt;Use cutting-edge tools and platforms to solve meaningful data challenges.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you!&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;This position is not eligible for employer sponsorship.&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Salary Range in CAD:&lt;/p&gt;
&lt;p&gt;&lt;iframe src=&quot;https://storage.googleapis.com/pave-band-share-bucket/main.html?min=142000&amp;amp;max=170000&amp;amp;currency=USD&amp;amp;meta=JTdCJTIyY29tcGFueUlkJTIyJTNBJTIyYWZyZXNoMnRtWDVCc0FaZ041aE0xc3NNVDAlMjIlMkMlMjJiYW5kSWQlMjIlM0ElMjIwMUdNVE1aWEFWS0ZCN0NIM0tOOEMwWUdIRiUyMiU3RA==&quot; width=&quot;250px&quot; height=&quot;80px&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;About Afresh&lt;/strong&gt;&lt;br&gt;&lt;br&gt;Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we&#39;re helping grocers provide fresher food to customers at more affordable prices. &lt;br&gt;&lt;br&gt;Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we&#39;ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt&#39;s Innovation Endeavors.&lt;/p&gt;
&lt;p&gt;Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. &lt;br&gt;&lt;br&gt;Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.&lt;/p&gt;
&lt;p&gt;&lt;strong data-stringify-type=&quot;bold&quot;&gt;Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under &quot;Skills and experience&quot; for reference.&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;&lt;/div&gt;

Senior Data Engineer

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we&#39;ve helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you&#39;ll join us!&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;About the Role&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We’re looking for a Data Engineer who’s excited to work at the intersection of food waste, large-scale data processing, and applied AI. In this role, you’ll help shape how customer data flows through our platform, improving how we ingest, transform, and operationalize real-world datasets to drive down food waste for grocery chains.&lt;/p&gt;
&lt;p&gt;You’ll work closely with other data engineers, product engineers, and AI/ML engineers to design and implement reliable, efficient ETL pipelines and streamline how we integrate with new customers. You’ll contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily/quickly and power our machine learning grocery solution.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What You’ll Do&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.&lt;/li&gt;
&lt;li&gt;Help&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;em&gt;improve&lt;/em&gt;&lt;span class=&quot;Apple-converted-space&quot;&gt;&amp;nbsp;&lt;/span&gt;integrations with new customers, making the process faster and more repeatable through thoughtful tooling.&lt;/li&gt;
&lt;li&gt;Contribute to the adoption of cutting-edge AI tooling (e.g., LLM-assisted data cleaning, semantic validation, and anomaly detection).&lt;/li&gt;
&lt;li&gt;Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.&lt;/li&gt;
&lt;li&gt;Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.&lt;/li&gt;
&lt;li&gt;Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.&lt;/li&gt;
&lt;li&gt;Learn and grow by pairing with other engineers, participating in design reviews, and taking on bigger and bigger projects.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Skills and Experience&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2+ years of experience building ETLs or data workflows with Python, PySpark, SQL, or similar tools.&lt;/li&gt;
&lt;li&gt;Comfortable working with messy, incomplete, or inconsistent datasets—and turning them into something structured and usable.&lt;/li&gt;
&lt;li&gt;Experience in identifying areas where tooling or automation can simplify workflows and reduce manual effort.&lt;/li&gt;
&lt;li&gt;Experience or strong interest in platforms like Databricks, Snowflake, and dbt.&lt;/li&gt;
&lt;li&gt;Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.&lt;/li&gt;
&lt;li&gt;Attention to detail and pride in delivering robust, maintainable solutions.&lt;/li&gt;
&lt;li&gt;Collaborative and communicative — you work well across teams and aren&#39;t afraid to ask questions.&lt;/li&gt;
&lt;li&gt;Learning mindset — hungry to grow your skills and move fast.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification.&lt;/p&gt;
&lt;p&gt;We encourage you to apply even if you don’t meet every requirement.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;This position is not eligible for employer sponsorship&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Salary Band in CAN:&lt;/p&gt;
&lt;p&gt;&lt;iframe src=&quot;https://storage.googleapis.com/pave-band-share-bucket/main.html?min=118000&amp;amp;max=145000&amp;amp;currency=USD&amp;amp;meta=JTdCJTIyY29tcGFueUlkJTIyJTNBJTIyYWZyZXNoMnRtWDVCc0FaZ041aE0xc3NNVDAlMjIlMkMlMjJiYW5kSWQlMjIlM0ElMjIwMUdNVE1aWEFWS0ZCN0NIM0tOOEMwWUdIRiUyMiU3RA==&quot; width=&quot;250px&quot; height=&quot;80px&quot;&gt;&lt;/iframe&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;About Afresh&lt;/strong&gt;&lt;br&gt;&lt;br&gt;Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we&#39;re helping grocers provide fresher food to customers at more affordable prices. &lt;br&gt;&lt;br&gt;Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we&#39;ve raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt&#39;s Innovation Endeavors.&lt;/p&gt;
&lt;p&gt;Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. &lt;br&gt;&lt;br&gt;Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.&lt;/p&gt;
&lt;p&gt;&lt;strong data-stringify-type=&quot;bold&quot;&gt;Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under &quot;Skills and experience&quot; for reference.&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;&lt;/div&gt;

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