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applied ai engineer

ai engineer

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Overview Of Role
 
 
 
 We are seeking an Applied AI Engineer to join our growing team and help advance our generative AI capabilities. This role blends hands-on model development with integration of cutting-edge AI techniques into production systems. You&rsquo;ll contribute to research, model experimentation, and implementation working closely with cross-functional teams to bring AI-driven products to life.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineering and product teams to train and fine-tune machine learning models, including diffusion models, LLMs, and other emerging generative architectures
 </li>
 <li>
 Develop tools and pipelines that support scalable, efficient, and production-ready AI systems
 </li>
 <li>
 Collect, clean, and analyze large-scale datasets to improve model performance and reliability
 </li>
 <li>
 Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency
 </li>
 <li>
 Design and deploy text-to-image models and LLM-based applications, including advanced prompt engineering, fine-tuning, and multi-component workflows
 </li>
 <li>
 Maintain and monitor deployed models in cloud-based production environments
 </li>
 <li>
 Stay current with developments in generative AI, contribute to the research environment, and apply new developments to enhance pipeline performance
 </li>
 <li>
 Communicate technical concepts clearly across technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, AI/ML, or a related field
 </li>
 <li>
 Strong proficiency in Python and familiarity with Linux environments; hands-on experience with machine learning libraries like PyTorch, TensorFlow,, etc.
 </li>
 <li>
 Strong fundamentals in machine learning concepts, with a deep understanding of algorithms and their underlying mechanics ("under the hood")
 </li>
 <li>
 Familiarity with training, fine-tuning, and evaluating models, especially with large-scale datasets
 </li>
 <li>
 Familiarity with data preprocessing, cleaning, and feature engineering
 </li>
 <li>
 Awareness of recent developments in generative AI, diffusion models, and LLMs
 </li>
 <li>
 Familiarity with cloud platforms and deploying AI models in cloud-based environments
 </li>
 <li>
 Excellent problem-solving and analytical thinking skills with close attention to detail
 </li>
 <li>
 Excellent communication and collaboration skills in a fast-paced and collaborative environment.
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Applied AI Engineer

First Legal

<div>Position Summary:<div>
We are seeking an experienced AI Engineer with strong expertise in enterprise Java engineering, Salesforce platform development, and cloud-native AI/ML systems. The ideal candidate brings hands-on AI development &mdash; including Prompt Engineering, Retrieval-Augmented Generation (RAG), Embeddings, and LLM-based agent bots. The ideal candidate will have hands-on experience building AI-powered bots and automation solutions within Salesforce / AWS environments, including Agentic AI capabilities. This role requires designing, developing, and deploying scalable AI-driven solutions aligned with business objectives, while collaborating closely with cross-functional teams.</div><div>
Essential Duties &amp; Responsibilities:</div><ul><li>
Work closely with IT and business stakeholders to define scope, refine business and technical requirements, and translate them into technical designs, specifications, and user stories.</li><li>
Design, develop, unit test, and deploy custom Apex Solutions including triggers, batch jobs, REST API Services.</li><li>
Develop and maintain Lightning Components using Aura, LWC, Lightning App Builder.</li><li>
Build and support Salesforce Experience Cloud (Customer/Partner) Portals solutions.</li><li>
Develop and maintain integrations with REST/SOAP APIs, MuleSoft and Platform Events.</li><li>
Design and optimize Flows (Screen, Record-Triggered, Subflows, Orchestration).</li><li>
Participate in cross-functional initiatives supporting CRM and enterprise-wide enhancements and enterprise system integrations.</li><li>
Assist project managers in identifying technical risks, dependencies, and mitigation strategies to support delivery timelines.</li><li>
Communicate project status clearly to stakeholders and escalate issues when necessary.</li><li>
Coordinate with offshore and onshore teams to ensure quality delivery and best practices.</li><li>
Maintain technical documentation, release notes, and support CI/CD deployments.</li></ul><div>
Job Qualifications:</div><ul><li>
Bachelor&rsquo;s degree in an IT-related field with 5+ years of professional experience, or master&rsquo;s degree with 3+ years of experience as a Salesforce Developer.</li><li>
Certifications: Certified AI Practitioner, certified Machine Learning Engr, Certified Salesforce admin and developer certifications.</li><li>
Demonstrated experience building and deploying LLM-based agents using LangChain, RAG, vector databases, and prompt engineering.</li><li>
Strong hands-on experience in Apex, LWC, SOQL/SOSL, Visualforce, and Salesforce DX (SFDX) development.</li><li>
Experience integrating Salesforce with external systems using REST/SOAP APIs, MuleSoft, Platform Events, and OAuth-based authentication.</li><li>
Hands-on experience with Salesforce Lightning Platform (LWC, Aura, Lightning App Builder) focusing on reusable component architecture and UI optimization.</li><li>
Experience working with Marketing Cloud integrations to support campaigns and communications.</li><li>
Proficient in Java enterprise development along with JavaScript, HTML, and CSS, with foundational experience in Java for web application development.</li><li>
Experience applying software design patterns such as MVC, Singleton, Factory, and Service Layer to build scalable and maintainable solutions.</li><li>
4+ years of experience working in Agile Scrum environments, participating in sprint planning, backlog refinement, and release cycles.</li><li>
Experience delivering Salesforce solutions within field service, insurance, and service-based operational environments.</li><li>
Strong understanding of SDLC processes including design documentation, code reviews, testing strategies, and deployment governance.</li><li>
Hands-on experience building and maintaining Experience Cloud (Customer/Partner) portals with secure authentication and role-based access control.</li><li>
Experience with Git-based version control, CI/CD pipelines, and multi-environment deployment strategies.</li></ul><div>
Schedule/Location:</div><ul><li>
Hours: Monday-Friday 8:00am-5:00pm</li><li>
Remote - AL, AZ, CA, CO, CT, FL, GA, IL, KY, MI, MN, NV, NJ, NY, NC, ND, OH, PA, TN, TX, UT, VA, WV, WI</li><li>
Benefits Offered:<ul><li>
Medical, Dental, and Vision coverage</li><li>
401k</li><li>
Paid Time Off (PTO)</li><li>
Internet Stipend for remote workers</li><li>
And much more!</li></ul></li></ul><div></div><div> 
About First Legal:</div><div>
We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, or any other basis protected by law. First Legal is the first truly comprehensive File Thru Trial&trade; solutions firm. With over 17 offices across the United States, First Legal has been serving thousands of law firms and corporations for more than 30 years across our six divisions - Court &amp; Process, Depositions, Discovery, Records, Digital and Investigations. Our success comes through our company culture of innovation and trust, commitment to quality service, and depth of industry knowledge. Our mission is to be the most dependable and trusted business partner for our clients by serving every aspect of the litigation workflow. First Legal partners with our clients on a national basis to achieve the most efficient litigation solutions for the betterment of our clients.</div></div>

Senior AI Engineer

Build.inc

<div>
 
 About Build
 
 
 
 AI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world&rsquo;s most important built projects - digital infrastructure, energy, industrial - from concept to completion.
 
 
 Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.
 
 
 To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We&rsquo;re backed by c-suite from Blackstone and OpenAI alongside the world&rsquo;s best venture capital firms.
 
 
 Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.
 
 
 
 About The Role
 
 
 
 This role sits at the intersection of product, infrastructure, and user experience. You will turn the Build Assistant, Dougie, into a world-class product: turning the world&rsquo;s best geospatial data and tooling layer into something usable, powerful, and trusted by institutions. Strong product sensibility is not optional; the ability to execute on it is a force multiplier.
 
 
 You&rsquo;ll work closely with James SE and Ben McClusky.
 
 
 
 You can expect to:
 
 
 
 <ul>
 <li>
 Design, build, and deploy the Build Assistant: an AI-native product that sits on top of complex geospatial data, models, and workflows, and makes them usable through a single coherent interface.
 </li>
 <li>
 Build a non-deterministic, multi-agent orchestration layer that coordinates tools, data sources, and human input to deliver reliable outcomes in ambiguous, real-world scenarios.
 </li>
 <li>
 Translate institutional real estate and infrastructure workflows into a clean ontology that agents and humans can operate against.
 </li>
 <li>
 Own and ship full-stack features end-to-end, from agent behavior and orchestration to UI, performance, and production reliability.
 </li>
 <li>
 Build beautiful, opinionated user interfaces on top of Build&rsquo;s design systems, where clarity, speed, and trust matter more than novelty.
 </li>
 <li>
 Work directly with domain experts and customers to pressure-test assumptions and ensure the assistant delivers real leverage, not demos.
 </li>
 <li>
 Solve unsolved problems at the intersection of AI systems and the physical world, where correctness, explainability, and failure modes matter.
 </li>
 <li>
 Build software that scales in both usage and complexity, with a bias toward robustness, observability, and long-term maintainability.
 
 
 </li>
 </ul>
 
 
 How to win at Build
 
 
 
 
 Growing Build requires a radically different approach to company building. As a company we&rsquo;re focused on one outcome: winning. That means we move fast, work with intensity, and demand excellence from ourselves. We operate with intensity but create an environment that allows for a lot of fun together. The result is that we're one of the fastest shipping teams in vertical AI, partnering with the best to automate the world around us.
 
 
 
 Performance
 
 and
 
 teamwork
 
 are the core of Build&rsquo;s operation. We look for those who are able to do both, who often exhibit a particular ability for;
 
 
 <ul>
 <li>
 Velocity: You are relentless in asking the right questions to set direction. Once you find the right direction you go all-in.
 </li>
 <li>
 Excellence: You obsess with being the best. For you, excellence is a non-negotiable standard rather than an aspiration.
 </li>
 <li>
 Long time horizons: You choose to be in something for the long run, because that&rsquo;s where most of the returns are realized.
 </li>
 <li>
 Ownership: You take full ownership of the outcomes. You&rsquo;re meticulous in your pursuits and believe you can actively shape your environment rather than adapt to it.
 </li>
 <li>
 Customers: You have a passion for the built world and those who shape it. You probably have a quirky hobby or story that relates to your love for building.
 </li>
 <li>
 Integrity: You chose to do the right thing even when it isn&rsquo;t easy.
 </li>
 <li>
 Trust: You only work with people you can trust because it&rsquo;s the only way to do truly extraordinary things.
 </li>
 <li>
 Yield: You have a burning need to see a result on every action you take and you&rsquo;re always looking for routes to do more with less.
 
 
 </li>
 </ul>
 
 
 What we offer
 
 
 
 
 <ul>
 <li>
 Radical autonomy, real ownership: High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity.
 </li>
 <li>
 An accelerated founder&rsquo;s track: Build is for builders. If you want to learn what it actually takes to create a generational company &ndash; Product judgment, execution speed, and accountability &ndash; there is no faster path than building from zero when everything is for grabs.
 </li>
 <li>
 Elite teammates, uncompromising bar: You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates.
 </li>
 <li>
 Perpetual adventure: We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional.
 </li>
 <li>
 Shape the built world: We are rebuilding how the physical world gets made. Our software doesn&rsquo;t live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.
 
 
 </li>
 </ul>
 Compensation Range: $130K - $185K
 
 
</div>

AI Engineer (Assistant)

<div>Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd 
Posted Date: Mar 2 2026 
At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK&rsquo;s unique access to data.
By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK&rsquo;s state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research.
As a Machine Learning Engineer focusing on applications in oncology, you will be expected to:<ul><li>
Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets.</li><li>
Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). &bull; Connect and collaborate with subject matter experts in biology, genomics, and medicine.</li><li>
Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.</li><li>
Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation.</li><li>
Deploy your algorithms to production to identify actionable insights from large databases.</li></ul><h1 class="jobSectionHeader">
Why you?
</h1>Basic Qualifications:
We are looking for professionals with these required skills to achieve our goals:<ul><li>
Master&rsquo;s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field</li><li>
Experience in Python programming and knowledge in machine learning, statistics, and applied math.</li><li>
Familiarity with modern machine learning methods (generative models, representation learning)</li><li>
Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems</li><li>
Experience with at least one Deep Learning framework such as PyTorch</li></ul>
Preferred Qualifications:
If you have the following characteristics, they would be a plus:<ul><li>
PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field.</li><li>
Experience in analyzing real-world and/or clinical data.</li><li>
Experience in incorporating agentic models into ML workflows</li><li>
Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services.</li><li>
Knowledge of cancer biology and precision oncology.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to digest, synthesize, and implement innovative methods from scientific literature.</li><li>
Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices.</li><li>
Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day.</li><li>
High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus</li><li>
Publicaiton in natural sciences would be a plus</li></ul>
#LI-GSK
# GSKAIML<ul><li>If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875.
</li></ul> 
The US salary ranges take into account a number of factors including work location within the US market, the candidate&rsquo;s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. 
 
If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at HR.AmericasSC-CS@gsk.com where you can also request a call.
Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK&rsquo;s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/</div>

AI/ML Engineer

SoFi

<div><div>Employee Applicant Privacy Notice

Who we are:
<div>
Shape a brighter financial future with us.

Together with our members, we're changing the way people think about and interact with personal finance.

We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
</div></div>
The role:

As a Manager - AI Software Engineer, you will play a critical, hands-on role in managing a high-performing team while building, deploying, and optimizing scalable, real-time, full-stack custom applications, from traditional workflows and user interfaces, to applications powered by the latest advances in AI. You are a seasoned and experienced full-stack engineer with deep expertise in designing and delivering software solutions from the UI to the data back-end. You roll up your sleeves to have a &quot;code first&quot; approach. You will work across cross-functional delivery teams to shape technical architecture, champion engineering best practices, lead technical design, mentor engineers, drive product management engagement, and ensure successful delivery of high-value solutions for our users.

What you'll do:
<ul>
<li>Own the end-end full-stack engineering infrastructure, and drive technical delivery from ideation and requirements decomposition through to deployment and continual improvement, ensuring alignment with product and business goals.</li>
<li>Engage with product, design, and business stakeholders to align technical strategy, drive decision-making, and deliver high-impact solutions.</li>
<li>Architect, design, and build end-to-end user-facing applications using rich interactive user-interfaces. You will remain hands-on, leveraging your expertise working with information extracted from databases and APIs (including native database functions such as Snowflake Cortex for advanced AI workloads).</li>
<li>Participate in the design of and partner with AI specialists in the implementation of production-grade, scalable multi-agentic AI applications enabling autonomous, stateful, and collaborative agent workflows for complex, real-world problem solving.</li>
<li>Manage deployment pipelines and infrastructure as code using ArgoCD, GitLab CI/CD, and AWS best practices.</li>
<li>Deploy, optimize, and monitor workflows on enterprise frameworks.</li>
<li>Automate real-time and batch data flows using orchestration tools such as Apache Airflow.</li>
<li>Lead code and design reviews, making critical technical decisions for AI-driven services.</li>
<li>Stay current with software engineering, AI, LLM infrastructure, and the evolving tooling ecosystem; generate ideas to expand product capabilities and technical reach.</li>
<li>Lead and mentor a team of talented software engineers, fostering a culture of technical excellence, ownership, and innovation.</li>
</ul>
What you'll need:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.</li>
<li>9+ years of professional software engineering experience, with a heavy focus on full-stack custom product delivery, including experience leading engineering teams, projects, or functions.</li>
<li>Proven track record of simultaneously delivering high-quality, production-grade, scalable, and highly available cloud-based services, and managing project and delivery milestones.</li>
<li>Solid DevOps and infrastructure-as-code experience using ArgoCD and GitLab for deployment, CI/CD, and environment management.</li>
<li>Advanced proficiency in React, Node.js, and front-end&ndash;to&ndash;back-end custom app development.</li>
<li>Extensive hands-on experience with database platforms - Snowflake strongly preferred, including advanced features, AI/ML integrations, and Snowflake Cortex.</li>
<li>Deep expertise in orchestrating real-time and scheduled pipelines with Airflow.</li>
<li>Strong communicator; able to collaborate and drive decision-making with cross-functional stakeholders, including product management.</li>
<li>Willingness to take ownership, mentor others, and champion learning and innovation within the organization.</li>
</ul>
Nice to have:
<ul>
<li>Prior fintech or high-throughput consumer product experience.</li>
<li>Exposure to cloud-native or AI workflow orchestration platforms.</li>
<li>Experience deploying and scaling LLM-powered chatbots or retrieval-augmented generation (RAG) platforms.</li>
</ul><div><div>Compensation and Benefits</div>
<div>The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.</div>
<div></div>
<div>To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!</div>
<h5 class="jobSectionHeader">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</h5>
<h5 class="jobSectionHeader">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</h5>
<h5 class="jobSectionHeader">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</h5>
<h5 class="jobSectionHeader">New York applicants: Notice of Employee Rights</h5>
<h5 class="jobSectionHeader">SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.</h5>
<h5 class="jobSectionHeader">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</h5>
<div>Internal Employees</div>
<div>If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div></div>

AI Software Engineer Manager, Risk 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

OpenAI

<div>
 
 About The Team
 
 
 
 The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains.
 
 
 The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for
 
 Full Stack Engineers
 
 who're passionate about blending production-ready platform architecture with new tech and new paradigms. You&rsquo;ll push the boundaries of OpenAI&rsquo;s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
 </li>
 <li>
 Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand their problems and implement effective solutions
 </li>
 <li>
 Work with product and research team to share relevant feedback and iterate on applying their latest models
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $230K - $385K
</div>

Software Engineer, Full Stack (Knowledge Innovation)

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