You must be located in the Americas, Europe, or Israel to apply.


A·Team is a VC-backed, stealth, application-only home on the internet for senior independent software builders to team up with hand-picked, high-growth companies on their next big thing. 

After talking with hundreds of independent engineers, designers, and product folks, we heard over and over that finding vetted, high-quality, consistent clients is hard, and projects are often too small to be rewarding. A·Team matches small teams of the most talented builders in the world with companies backed by a16z, YC, Softbank, General Catalyst, etc. on a contract basis for many of their most important initiatives. We quietly launched in May 2020, and have helped A·Teamers earn $85+ million since.

As part of A·Team, you can expect:

• High-paying, meaningful missions with the most audacious companies sent your way; generally $90-$150+/hr, with vetted, fascinating clients doing work that matters. We're picky about who we partner with; new clients only come in via trusted referral. We've worked with Lyft, McGraw Hill, ClearCo, Pepsi, Walmart, the former CEO of Waze, the leading vaccine production software, several new unicorns we can't say here, and dozens of startups backed by a16z/YC/Softbank/Insight/Tiger/etc.
• Work alongside friends old & new: our niche is small/diverse product teams, since clients with larger budgets and higher-impact work tell us they want teams, not individuals. Of course, we keep friends together whenever we can.
• Full autonomy: say "no" to things that don't excite you. The most talented builders often juggle a few things at once, so there's never pressure to join an A·Team mission if you don't have the bandwidth. If we're no longer a fit, it's easy to leave or pause too. 
• Small, curated, off-the-record gatherings: for conversations hard to have elsewhere. Long-term, we're creating micro-communities for the world's top builders to become friends around the things they care about.
• Keep 100% of what you earn: if you charge $120/hr, you get $120/hr. A·Team makes money by charging a small, flat, transparent platform fee on top of your rate.

How to apply:

Go here: https://build.a.team/remotivereferral + mention Remotive. We respect your time so the application is short. We're also much more interested in seeing what you've made, and excited to chat more if there’s a fit.

What you’ll do:

• Once part of A.Team, you’ll regularly be invited to impactful missions that match your interests. Find the right pick from early-stage incubations with world-class founders, to fast-growing super-funded companies, to old school non-tech incumbents looking to build as a tech giant would

• Missions usually involve building an ambitious piece of software from 0 to 1 as part of a small 3-4 person team. 

• You’ll be paid to scope it out, give the client options, guide strategy, and execute on the selected solution. Sometimes the client has a clear vision, sometimes not; which is why A.Team builders tend to be senior folks who can work together to find the right direction. 

Who A·Team is for:

• Senior software developers who left large companies and high-growth startups to pursue their craft with autonomy.

• Those who prefer consistent contract work over a full-time role, who want to create a variety of new products alongside other top-tier builders.

• The majority of A.Teamers spend most of their time doing independent work, but a sizeable percentage are either employed full-time (but testing out client work), bootstrapping a side project, or looking for their next big thing

Who A·Team is not for:

• People looking for small gigs

• Folks looking to build simple wordpress/wix/squarespace-style websites

• Those still early in their careers (<4 years) and recent university/bootcamp grads (at least not yet)

Our long-term vision:

A·Team is a new type of company for a new kind of independent software builder. We call them "unhirables": people who traditional companies couldn’t hire full-time even if they wanted to, but who want to do their most meaningful work with their favorite people in small, autonomous, distributed expert teams. 

To help us secure amazing missions, we raised $60 million+  from Insight Partenrs, Tiger Global, NFX, RocNation, along with the former CEO of Upwork, the founders of Fiverr and Lemonade, Apple's Global Head of Recruiting, YC Partner Aaron Harris, Wharton's Adam Grant, and Duke's Dan Ariely.

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether
Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.

The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops.

Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.

Responsibilities:

• Work on deploying machine learning models to edge devices using frameworks such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR).

• Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments.

• Integrate AI features into existing products, enriching them with the latest advancements in machine learning.

• Excellent programming skills in Python, and a solid understanding of C/C++.

• Experience with platforms such as Llama.cpp, ONNX, TVM, MLC LLM, and IREE (MLIR), which facilitate the deployment of models to specific GPU architectures.

• Experience in NLP, transformers, fine-tuning, computer vision, TensorFlow, PyTorch, JAX and CUDA toolkit.

• Experience working with LLMs, fine tuning, RAG, transformers is a plus.

• Demonstrated ability to rapidly assimilate new technologies and techniques.

• A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&D.

About Factal: 

Factal is a risk intelligence and breaking news company that helps the world's largest organizations protect people, avoid disruptions and expedite disaster relief. Powered by a hybrid of advanced AI and experienced journalists, Factal detects and verifies critical events like severe weather, conflict and crime in real time. Trusted by many of the world's most prominent companies and more than 250 humanitarian NGOs, Factal's products include a web platform, mobile app and data products that are sold on an annual basis.  

About this role:

Factal is seeking a full-time mobile developer to join our Seattle-based technology team (remote US/UK resident candidates welcome).

Your role would be developing native mobile applications for both iOS and Android. This would include both user interfaces as well as framework code in both apps. The apps communicate with an evolving internal backend as well as public APIs and the ideal person would have experience with both. We're looking for someone who can drive both large and small features within the apps without having to be told all the individual steps. (It also wouldn't hurt if you knew a little Python.)

The ideal candidate:

• Has experience developing a lightweight, responsive native app on either iOS or Android- ideally on both
• Has experience with declarative user interface frameworks (SwiftUI or Compose ideally)
• Has experience with interacting with internal APIs and ability to understand how the backend works
• Has experience working on high-use, large-scale applications
• Doesn't need complex instructions/specs/workflows to get things done
• Prefers to work for a small company, one with a mission, and wants to contribute

Some benefits to working at Factal:

• Full medical, vision, and dental coverage
• Basic life insurance policy fully covered by Factal 
• Generous paid time off
• 12 paid holidays  
• Parental leave up to 12 weeks paid
• 401(k)
• Stock options
• Lots of dog pics
• Flexible working hours (we are are a 24/7 operation with people all over the world)

The base salary range for this role is $125,000-$140,000. Compensation is a mix of base salary, bonus and stock options. Salary will be commensurate with experience.  

Applicants must be legally authorized to work in the United States/United Kingdom without the need for employer sponsorship. Please note that a background check will be conducted as part of the hiring process.

Non-discrimination policy:  

Factal pays competitively, and we offer equal employment opportunities to all candidates. Factal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. 

About ScultureAI

ScultureAI is a B2B SaaS startup developing groundbreaking coaching solutions for shaping organisational culture using large-language models and other cutting-edge Al technologies. An organisation’s culture is a key driver of employee wellbeing and company success, and we are driven by the mission to improve the lives and performance of employees and companies all over the world. 

ScultureAI been named one of Europe’s hottest startups at The Europas and one of the leading UK AI startups by Generative Group. Having raised over £1.5m to date, we are currently onboarding our first major enterprise clients and this is just the beginning! 

Our team operates in a dynamic, supportive atmosphere where everyone's voice is heard, and every good idea is valued. We want to build a workplace community where passionate individuals can thrive, grow, and contribute to groundbreaking Al coaching solutions that transform organisational culture and have a positive impact on the world. Join us on this exciting journey and shape the future of coaching and workplace culture. 

About the role 

We are looking for a talented Senior Prompt Engineer to help us push the boundaries of what’s possible with LLMs. This role has two core aspects. First, you’ll design, build and optimise complex multi-agent prompt pipelines that directly power our product and customer outcomes. Second, you'll build and scale rigorous evaluation systems to evaluate these constantly changing pipelines – both automated and human-in-the-loop – to continuously assess and improve the quality, performance, reliability, and cost-efficiency of our prompt architectures. You’ll need to be deeply immersed in the latest techniques across prompting, LLM behaviour, multi-agent orchestration and agent design, and be excited to apply that knowledge in a fast-paced, high-impact startup environment.

Requirements

• Architect, design, and implement robust multi-agent pipelines leveraging a diverse range of LLMs
• Systematically decompose complex problems into structured, scalable prompt-driven solutions
• Use advanced prompt engineering techniques to drive desired results
• Build and maintain a library of atomic evaluation prompts to measure coaching output quality across several dimensions
• Develop and automate evaluation systems that can benchmark, identify regressions, and measure the stability of new prompts, models, and model versions
• Use statistical techniques and domain knowledge to define quality thresholds, analyse variance, and surface outliers or black swan failures
• Participate in designing and running human-in-the-loop processes to validate and improve evaluator prompts
• Contribute to internal tooling for prompt observability, output sampling, evaluator scoring, and user feedback
• Optimise the trade-offs between latency, quality and operational cost
• Implement safety and security best practices
• Build and manage modular, version-controlled prompt libraries with support for templating and reuse
• Collaborating with full-stack engineers to design and implement complex automatedsystems to evaluate the quality and consistency of outputs across pipeline stages and agents.
• Collaborating with other technical colleagues to develop tools and systems for prompt observability, such as usage tracking, output variance monitoring, and feedback loop integration.

Necessary to have

• 18+ months of hands-on experience in LLM prompt engineering, ideally with multi-prompt or agentic architectures
• Demonstrated experience designing or contributing to LLM evaluation systems, either for QA, R&D, or production monitoring
• Strong understanding of LLM behaviour, capabilities, and failure modes
• Comfortable working with prompt evaluation tools or libraries (e.g., OpenAI Evals, DeepEval, Promptfoo, TruLens, LangChain eval, etc.)
• Familiarity with advanced evaluation metrics and an ability to interpret results
• A Masters degree with distinction in a relevant subject
• Appreciation of coaching, behaviour change and organizational culture principles
• Experience designing few-shot evaluator prompts and LLM-as-a-judge pipelines

Personal Characteristics 

• Great communicator who builds strong relationships with colleagues
• Self-starter and fast learner, able to operate in a fast-paced environment 
• Creative problem solver with a can-do attitude 
• Accountable, reliable with high attention to detail
• Passionate about our vision to reimagine coaching and corporate culture
• Great communicator who builds strong relationships with colleagues
• Self-starter and fast learner, able to operate in a fast-paced environment 
• Creative problem solver with a can-do attitude 
• Accountable, reliable with high attention to detail
• Passionate about our vision to reimagine coaching and corporate culture

Benefits

• Competitive salary and equity options.
• Flexible working hours and a remote-first environment.
• Opportunity to work on groundbreaking AI technology.
• Learning and development budget to support your career growth.
• A supportive, inclusive team culture where your contributions make a real impact.

ScultureAI, recently named as one of Europe’s top 100 startups by the Europas, is developing groundbreaking tech solutions for shaping organisational culture using large-language models and other cutting-edge Al technologies. Organisational culture is crucial, but shaping it is hard - "typical approaches to culture change ... rarely produce real results" (John Kotter, Harvard Business School). ScultureAI aims to change that. Shaping culture for the better will help not just businesses but society more generally, partly because of the improved productivity and performance of our customers but also because of improvements in employee mental and physical well-being that come from a healthy organisational culture.

Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

Requirements

Constructor is seeking an experienced AI Engineer to design and build our Agent Products. In this role, you will focus on developing and rigorously evaluating sophisticated RAG pipelines and agentic workflows that power new ways of shopping. Our LLM -powered agents utilize various tools to interact with customers’ catalogs, enable advanced retrieval, and assist with browsing to answer open-ended user queries. These agents provide high-quality, well-cited answers and deliver exceptional product recommendations.

Responsibilities:

• Architect and build  real-time agentic workflows to handle complex, multi-step user tasks and open ended queries to provide users with accurate and contextually relevant answers and product suggestions.
• Own the end-to-end data lifecycle for AI workflows, vector database ingestion and indexing.
• Design metrics to evaluate the relevance and performance of query results, ensuring they align with business goals and user expectations.
• Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems.
• Collaborate closely with Product, Design, Analytics and other engineering teams to translate AI capabilities into tangible, high-quality product features.
• Improve the speed, quality, and efficiency of our AI systems and engineering processes.
• Take ownership of systems and designs, from conception through to deployment and maintenance.

Qualifications:

• 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP.
• Excellent skills in delivering and communicating business value.
• Proficient in Python, SQL, and big data stack for end-to-end ML product development, with experience working across the entire pipeline in typical recommendation systems or LLM-based solutions.
• Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies).
• Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus.
• Nice to have: Experience with automatic prompt optimization techniques, such as DSPy.
• Solid understanding of ML evaluation methodologies and key information retrieval metrics.
• Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks.

Tech Stack:

• Core: Python, Fast API, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
• Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS
• Cloud & MLOps: AWS, Databricks, Ray

Benefits

• 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• 🌎 Fully remote team - choose where you live 
• 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 
• 💻 Apple laptops provided for new employees
• 🧑‍🎓 Training and development budget for every employee, refreshed each year
• 👪 Maternity & Paternity leave for qualified employees
• 🧠 Work with smart people who will help you grow and make a meaningful impact
• 💵 This position has a base salary range between $80k and $120k USD. The offer varies on many factors including job related knowledge, skills, experience, and interview results.
• 🎉 Regular team offsites to connect and collaborate

Diversity, Equity, and Inclusion at Constructor

At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.

• Blockchain Traffic Management, including stateful failover between multiple external providers
• Managing data consistency and block freshness to power critical internal services, such as our wallets and indexers
• Ensuring reliability and scalability across the blockchain platform stack
• Pioneering new technologies such as decoupling blockchain node storage and compute
• Building a platform on top of our existing nodes to reduce engineering effort and ops TOIL

The Role:

We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

• 5+ years experience as a Fullstack Developer.

• Backend experience with:

• Node.js

• Microservices architecture

• Database experience with:

• SQL

• MongoDB

• Intermediate-advanced English

• Located in CET timezone (+/- 3 hours).

• Database Architecture knowledge.

• Ability to build libraries and frameworks of reusable efficient code.

• Competence in designing and implementing low-latency, stable and performing applications.

• Capacity to effectively collaborate with other team members and stakeholders remotely.

• Ability to implement data protection systems.

• Competence in data storage solutions.

What we offer:

• Get paid, not played

• No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options.

• Predictable project hours
• Enjoy a harmonious work-life balance with consistent 8-hour working days with clients.
• Flex days, so you can recharge
• Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
• Career-accelerating positions at cutting-edge companies
• Discover exclusive long-term remote positions at the world's most exciting companies.
• Hand-picked opportunities just for you
• Skip the typical recruitment roadblocks and biases with personally matched positions.
• One seamless process, multiple opportunities
• A one-time contracting process for endless opportunities, with no extra assessments.

• Compensation
• Enjoy the same pay, every month with positions landed through Proxify.

Explore the Nearsure experience! 

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. 

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. 

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. 

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. 

Ready to grow with us? 🚀 
 
Here’s what we offer you by joining us! 
 
✨ Competitive USD salary 💲 – We value your skills and contributions! 

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!  

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!  

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. 

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. 

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! 

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community. 

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! 
 
 
About the project 
 
As a .NET Engineer Lead, you will develop, maintain, test, and optimize a new modern software platform architecture, shifting the client away from the monolithic products and services that are currently the core platform. You will report to the Manager of Software Engineering. 
 
 
How your day-to-day work will look like 
 
✅ Define and oversee migration strategy and architecture. 
✅ Support and unblock the team across the codebase, architecture, and cloud infrastructure. 
✅ Ensure test coverage, CI/CD practices, and code quality compliance. 
✅ Coordinate work between both application migration streams. 
✅ Communicate with stakeholders and product managers. 
 
This would make you the ideal candidate 
 
✨ Bachelor's Degree in Computer Science, Engineering, or a related field.  
✨ Expert in C#, .NET Framework (4.5/4.8), and .NET Core / .NET 8. 
✨ Experience working with Azure (App Services, Redis, Functions, SQL, Traffic Manager). 
✨ Experience leading CI/CD with Jenkins & Azure DevOps. 
✨ Strong understanding of authentication (OAuth2, Google/Facebook Auth, Windows AD). 
✨ Solid knowledge of API lifecycle management. 
✨ Logging/Monitoring: Datadog, Log4Net, SonarQube. 
✨ Testing strategy: Selenium (Python), XUnit/MSTest, TestRail. 
✨ Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. 
 
What to expect from our hiring process 
 
1️. Let’s chat about your experience!  
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.  
3. Nail that, and you’ll meet our client - your final step to joining our amazing team! 
 
🎯 At Nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team! 

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.  

Let’s work together to shape the future of technology!  

🧑‍💻 Apply now! 

About Us:

Chalice Custom Algorithms (chalice.ai) is the leading AI solution for brands applying their own data and analytics to real-time decisioning in ad buying. Our platform automates data ingestion, predictive analytics, and the deployment of custom bidding logic across all major DSPs, Meta, and YouTube. Chalice has been recognized as “Best Demand Side Tech” by AdExchanger and powered AdWeek’s “Best Use of Programmatic” in the 2023 Media Plan of the Year awards.

About the Role:
We are seeking a Director of Machine Learning Engineering (MLE) to lead the architecture, deployment, and optimization of our machine learning infrastructure and models. This role will report directly to the VP of Data Science and Analytics, manage our Senior MLE(s), and collaborate closely with the Engineering Architect to design and scale robust, low-latency enterprise pipelines. The Director will also mentor junior software engineers in machine learning engineering best practices, fostering growth across the team.

This is a high-impact position for a leader who thrives at the intersection of ML infrastructure, production systems, and business value delivery. You will help define the technical vision, ensure delivery of scalable AI solutions, and drive cross-functional initiatives that shape our platform’s evolution.

Key Responsibilities:

Lead the design, development, and deployment of scalable machine learning systems leveraging Databricks, PySpark, Rust, and Kubernetes for both low-latency applications and offline training pipelines.

• Oversee LLMs and neural network predictive modeling pipelines, ensuring performance, observability, and alignment with product strategy.

• Own the full ML lifecycle—from data ingestion and feature engineering to model deployment and performance monitoring.

• Collaborate with the Engineering Architect to build robust, fault-tolerant, and maintainable ML pipelines that support enterprise scale.

• Manage and mentor a growing team of 3 senior and junior MLEs and collaborate closely with software engineers, fostering technical excellence, code quality, and architectural rigor.

Own the end-to-end machine learning lifecycle from data ingestion and feature engineering through model deployment and monitoring.

• Partner with product, data science, and engineering teams to translate business objectives into technical solutions that drive measurable outcomes.

• Guide adoption of emerging technologies and techniques (e.g., LoRA, quantization, vector stores, Rust microservices for model serving) to improve model efficiency and latency.

• Ensure compliance with audit, privacy, and security standards in all ML engineering efforts.

Qualifications:

• 8+ years of industry experience in machine learning engineering, with at least 3+ years leading ML engineering teams.

• Deep experience building low-latency machine learning systems using Kubernetes, Rust, PySpark, and Databricks, Pytorch, Tensorflow, and state of the art neural network packages.

• Proven track record in designing and deploying LLM- and neural network-based solutions at scale.

• Experience with CI/CD Integrations and ML Data and Model versioning

• Mastery of MLOps tools and processes (MLflow, Prometheus, Grafana, Airflow, etc.).

• Strong experience with cloud platforms (AWS, Databricks) and production data engineering at scale.

• Ability to influence architecture and strategy while being hands-on when necessary.

• Experience in mentoring and developing technical talent across seniority levels.

• Excellent communication and collaboration skills to partner across product, engineering, and executive teams.

• Advertising technology or performance marketing experience is a strong plus.

Why Join Us:

At Chalice, you’ll be at the forefront of AI-driven advertising innovation. We offer:

• A collaborative, high-performance environment where your work shapes the future of custom AI for brands.

• Competitive compensation plus performance incentives.

• Comprehensive benefits (medical, dental/vision, 401k options, unlimited PTO, 11 company holidays, year-end closure).

• A culture that values transparency, non-conformity, and diversity of thought.