Lateral stands for technology excellence.

We’re a profitable, award-winning design and technology company with over 20 years of experience launching bold ventures and transforming businesses. A globally distributed team of 200+ experts united by a shared purpose: the continuous pursuit of quality.

Our clients come to us for results, quality and craft - and stay because we keep raising the bar.

We do things differently at Lateral

Our mission is simple: design and build great products.
What sets us apart isn’t just the talent of our team - it’s the way we work:

We Have A Bias For Action & Results.

We are doers - we spot the gaps, connect the dots, anticipate what’s around the corner and take action. We move fast, stay focused, and let the results - not the effort - speak for themselves.

We Work On Time, On Budget, On Quality

Discipline is our edge -  a commitment we make to each other, to our clients, and to the standards we hold ourselves to.

We Care Deeply. 

We care about our work and about each other. Care Is A Competitive Advantage.

Every detail matters. Every design, every line of code, every decision. Thoughtful by default.

We Do Things Right - Because It’s the Right Thing to Do

Right over easy. Integrity isn’t up for negotiation. We hold the bar high even when no one’s watching. We take pride in doing great work the right way - not the easy way.

We Keep Improving

The best teams keep improving and we’re never done learning.

We iterate. We reflect on what’s working and what’s not. Feedback fuels us, we receive it openly, and adapt quickly. Progress over perfection. 

We’re Obsessed With Agility, Not The Agile Manifesto

We don’t chase dogma or rituals  - we chase momentum. We adapt processes to fit problems, not the other way around.

We Take Ownership
Everyone leads something here. You will have room to run with ideas, and the trust to execute. That trust is built on how you show up: thinking things through, sweating the details, and following through.

What You’ll Do 

We leverage cutting-edge machine learning to deliver innovative solutions in medical imaging. As a Senior Machine Learning Engineer at Lateral, you will be instrumental in realizing our AI vision through a variety of critical tasks:

• Experimentation and Optimization: You will help parallelize and distribute work amongst different experiment tracks, optimize model performance via hyperparameter tuning, model ensembling, or advanced training strategies, and design and conduct systematic experiments to validate hypotheses and model improvements.

• Research and Development: Your responsibilities will include conducting literature reviews on state-of-the-art methods in medical imaging, designing and prototyping novel machine learning models, implementing model architecture and training strategies in code, and generating ideas and exploring methods for improvements to existing models or tasks.

• Analysis and Validation: You will perform statistical analysis to assess model robustness and reproducibility, and compare proposed methods against baselines and benchmarks from existing literature.

• Interdisciplinary Collaboration: You will collaborate with domain experts to define problem statements and interpret model outputs, ensuring our AI solutions are both technically sound and clinically impactful.

What We’re Looking For

We’re seeking research-minded engineers who are excited to build real, meaningful ML systems, not just prototypes. You’ll thrive in this role if you bring:

• 5+ years of hands-on experience in machine learning, including model design, training, and evaluation.

• Extensive experience applying machine learning to real-world computer vision or NLP problems, including developing, deploying, and optimizing models.

• Proficiency with deep learning frameworks such as PyTorch or TensorFlow and comfort writing clean, modular experimentation code.

• Practical experience running experiments, tuning models, and comparing approaches via systematic validation.

• Excellent grasp of modern ML concepts: regularization, loss functions, optimization strategies, generalization, overfitting, etc.

• Basic data analysis skills using tools like Polars or Pandas for efficient data manipulation and exploratory data analysis.

• An understanding of statistical testing and experimental design to assess performance, robustness, and reproducibility.

• Curiosity about new techniques — you enjoy staying current with ML literature and applying ideas in production-minded ways.

• Strong communication skills — able to collaborate with other engineers, researchers, and domain experts to translate needs into solutions.

• Strong analytical skills with the ability to deconstruct complex problems into their core components and fundamental characteristics.

• Capability to prioritize tasks strategically, develop clear work breakdown structures, and manage competing demands in a fast-paced environment.

• A track record of generating novel ideas, exploring them rigorously, and translating them into working systems.

• Experience building ML pipelines (training, evaluation, deployment) in production, especially in cloud environments like AWS.
  

Bonus points for:

• Experience with medical imaging, scientific ML, or regulated environments.

• Contributions to papers, open-source projects, or research infrastructure.

• Familiarity with explainability techniques (e.g., SHAP, saliency maps) and fairness/audit frameworks.

• Experience in multimodal machine learning, focusing on the integration and joint processing of text and image data.

Why You’ll Love Working Here

• Real Impact: You’ll work on meaningful products that make a measurable difference - from healthcare and commerce to sustainability and next-gen tech.
  

• Remote-First, Office Friendly: Work from wherever you’re most productive - whether that’s your home, a co-working space, or one of our offices. We’re a remote-first company, but if you’re near an office, you’re welcome to drop in, collaborate in person, or work onsite regularly.
  
  We prioritize async collaboration, respect your time zone, and focus on outcomes over hours.
  

• An Outstanding Team: Talented, kind, and hard-working people who care deeply about their craft - and about each other. No egos. No politics. Just professionals doing their best work.
  

• Growth: You’ll be supported in growing your craft, exploring new paths, and stepping into greater responsibility - at your own pace
  

• A Culture of Excellence: We care deeply about doing the right thing - for our clients, our team, and ourselves. No burnout. No crunch. Just high-quality work, delivered sustainably.
  

• Variety & Stability: We’re profitable, independent, and over a decade strong. Yet every project brings a fresh challenge. You’ll never be bored here.

This Role Might Not Be for You

We want to respect your time by being clear about what this role isn’t. You should skip this opportunity if:

• You prefer well defined structure. If you gravitate towards a clear hierarchy, well defined roles and swim lanes, you may find our self-managed style challenging.
  

• Distributed work isn’t your thing. If you find async communication, design documentation and being proactive without a manager nearby difficult, our setup won’t suit you.
  

• Feedback doesn't excite you. We’re obsessed with quality and believe in continuous improvement. That means we give feedback that’s sometimes nitpicky. If refining the work until it’s excellent feels over the top, you are likely going to find working here frustrating.
  

• Change makes you uncomfortable. We’re scaling and maturing. That means not everything is perfect yet. Priorities shift. Processes evolve. If ambiguity is uncomfortable, this may feel bumpy.
  

However, If this sounds like fuel, we’d love to talk!

How to apply and what to expect in the interview process

01. Your work
Show us the work that reflects you at your best. We’ll look at depth, design thinking, and the logic behind your choices.

02. Lateral team fit
You’ll speak with our Talent team about your career direction, your motivators, and our plans ahead.

03. Work trial 

You’ll tackle a take-home challenge that mirrors what we actually do. 

04. Engineering deep dive
A collaborative session with our engineers. 

05. Project fit
An interview focussed on prioritization, collaboration across disciplines, and how you handle the "messy middle".