Staff Engineer, Machine Learning
Primer
This job is no longer accepting applications
See open jobs at Primer.See open jobs similar to "Staff Engineer, Machine Learning" Speedinvest.An Introduction to Primer
We鈥檙e the world's first unified payment infrastructure, empowering businesses worldwide to unleash their payment potential. By choosing our platform, merchants can take control over their payment stack, create unique commerce experiences, accelerate their roadmap and increase payment success. We strive to make something complex incredibly simple and intuitive. The world's top investors, including Accel, Balderton, Iconiq, and Tencent, have invested in Primer's vision to rebuild payments and commerce from the ground up.
Join us in shaping the future of payments and commerce.
The role
At Primer, we鈥檙e building the future of payments, and machine learning will play a central role in that journey. We鈥檙e looking for a hands-on Staff Machine Learning Engineer to build and scale our AI capabilities from the ground up.This is a high-impact opportunity to shape our approach to AI, lay strong foundations, and work at the intersection of engineering, data science, and product.
馃攳 What You鈥檒l Be Doing
Own the end-to-end lifecycle of ML-powered features - from problem definition and data exploration to model training, deployment, and monitoring
Help build the foundations and define the future of ML at Primer. where you鈥檒l have influence from day one.
Collaborate with product, data, engineering and platform teams to identify and prioritise impactful ML use cases
Design and build core ML infrastructure including versioning, CI/CD, and observability tooling
Work across teams and functions as a staff-level IC, acting as both an aggregator and technical leader
Bring a pragmatic, impact-first mindset to experimentation and model evaluation
Engage with customers to validate ideas and test new solutions - a chance to help shape real product outcomes
Whether you see your path evolving toward technical leadership or people management, we鈥檒l support your growth every step of the way
馃憖 What We鈥檙e Looking For
6+ years of experience in ML engineering, data science, or applied research
Familiarity with payments or e-commerce - this is essential as you鈥檒l be the domain expert from day one.
Excellent Python programming skills and strong familiarity with ML libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, Keras etc.
Proven track record deploying ML models to production (API, batch, or streaming contexts)
Solid understanding of the modern software engineering, infrastructure and data technologies
Experience working with LLMs, embeddings, or vector databases
Comfortable operating in ambiguous, fast-paced environments
Cloud experience (AWS preferred, but GCP or Azure is fine)
馃毇 You may not like it here if:
You enjoy working in an office-setting, we are remote-first and always will be!
You are not comfortable with shifting context and navigating ambiguity
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You don鈥檛 enjoy testing your code, we have no testers or QA鈥檚 here at Primer
Unfortunately we are unable to offer sponsorships or relocation packages at this time.
What鈥檚 the culture like at Primer?
We鈥檙e building a culture where people can come and do their best work and enjoy it. We want our people to be proud of the impact that they have at Primer, and of the work that they are doing. You will be working with a team of people who are mission-driven, smart, and reflective, and who are invested in building exceptional products and delivering success for our merchants (and we also know how to have fun along the way).
We work remotely. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships with each other through great remote working practices and thoughtfully designed face-to-face time together. Our heads-together time comes in the form of workations, our annual company retreat, and co-working space access worldwide.
Finally, let鈥檚 go ahead and say it. The work that we do is challenging. Startups are a challenge, building category defining products is a challenge. You should be prepared for a challenge at Primer. But, there鈥檚 a big difference between a challenge and a struggle. The key difference is that the right challenge comes with the right support structures, an acceptance that not everything always goes to plan, a collaborative environment, and a great team around you. It鈥檚 never a challenge that you will face alone.
Our benefits:
We are fully remote
Competitive share options
Uncapped holiday, with 25 days minimum to be taken
Co-working space access
Workations & company retreat
The best equipment for your role
拢500 towards your home office setup
Generous learning budget
Medical insurance
A broad set of additional perks and benefits (depending on location)
Don鈥檛 meet every single requirement?
At Primer, we鈥檙e dedicated to building a diverse, inclusive, and authentic workplace. If you鈥檙e excited about this role but your past experience doesn鈥檛 align perfectly with every qualification in the job description, we encourage you to apply. You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees, regardless of background or beliefs鈥攕ee our diversity commitment statement for more details
Primer adopts a zero-tolerance approach to discrimination.
We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.
This job is no longer accepting applications
See open jobs at Primer.See open jobs similar to "Staff Engineer, Machine Learning" Speedinvest.