Lead the development of advanced machine learning models to optimize agricultural operations at Halter.
Posted by employer 3 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 7 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Proficiency in contemporary AI companions and tooling for software and engineering productivity.
Requirements
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Lead Machine Learning Engineer at Halter, the individual will focus on developing advanced predictive models that enhance agricultural operations for farmers. Key skills include expertise in machine learning, experience with complex predictive systems, and a strong foundation in both technical and agricultural domains. This position is ideal for a seasoned professional who thrives in a collaborative environment and is eager to tackle real-world challenges in farming. Halter's team emphasizes a high-performance culture, fostering innovation and deep connections among its members.
Joblaze insights
Quick facts
From the original posting
Halter’s Predictive Systems group is dedicated to the development of advanced models to provider farmers with the most accurate insight to optimise their operations. To provide farmers with the highest quality insights, we’re building upon the bleeding edge of scientific advancements with unmatched access to rich, novel data to develop a cutting edge agricultural modelling system.
You’ll play a pivotal role in one of the machine learning teams within the group, where you could be building advanced models of pasture growth and land properties that power intelligent, modelling animal state, health and activity, and much more. Applications could range from remote sensing of pasture biomass, identification of animal heat events, to grazing interval simulation for advanced recommendations.
You will be owning end to end development of machine learning pipelines, advanced contemporary modelling, to deployment and monitoring. You will work with great team-mates in engineering, product and design to achieve outsized results. The impact of our work is profound, and we take that responsibility seriously. As a member of the group, you'll share our passion for technology and our commitment to optimizing the management of pastural grazing systems.
You will be responsible for:
🌱Modeling, from biological processes to farm operations: You will drive development of predictive systems to solve real-world challenges faced by farmers.
📚Research, from technical to agriculture: you will be required to conduct extensive literature reviews, and stay ahead of the curve with respect to both machine-learning systems, and pasture science.
🛠️Model development: design, dataset construction, training and optimization: Rarely do we utilize a model off the shelf. You will own the architectural design, and all phases of model development.
👀Supporting your work in production: Halter engineers demonstrate a high level of ownership. We support what we build, and we learn from our systems behavior in the field.
🧠Proactive innovation: As a member of the data discipline it is expected that you will exercise a high degree of creativity to proactively deliver innovative ideas.
You are a high-output generalist: You will be required to work with autonomy across infrastructure, databases, simulation, and ML development. You will be restless with respect to advancing your own impact across the stack, leveraging AI companion tools and agents.
You are a machine learning expert: You will be joining a highly capable team of technologists with deep experience in machine learning and complex systems. You will be required to provide extra strength in machine-learning theory, and its application to maximizing pasture efficiency.
You have experience delivering highly complex predictive systems at the bleeding edge of research: Experience translating academic research into practical applications that add value to the world. You may be required to work on a range of problem-sets, from multi modal time-series modelling, to simulation systems.You are deeply curious and willing to become an expert in pasture-based farming.
Our farmers expect us to know farming as well as they do, understand why they do what they do, and identify where they can do it better. Curiosity beyond technology and into the agricultural domain will be a strong motivation for you.
You are a product-minded, strategic thinker: Halter is in the enviable position of possessing an immense depth of farm-data. You will be adept at mapping opportunities across our data-lake to systems that add positive value to farmers and ranchers.
You embrace uncertainty and ambiguity: Uncertainty is intrinsic in the ambition of our team and company. We take big, calculated strides, and we embrace the challenge to do so.You are a highly effective collaborator and incredible teammate.
You have a deep academic and/or professional background applying machine learning to solve real-world problems (e.g. a research oriented postgraduate degree in mathematics or computer science, with relevance to modelling with deep neural networks)
Demonstrated experience designing, deploying, and monitoring machine learning systems to productionStrong causal reasoning and an ability to design models that reflect real-world dynamicsStrong data intuition and ability to work with noisy, high volume, high-dimensional datasets
Fluency in Python and experience contributing to or working on complex, collaborative codebasesProficiency in contemporary AI companions and tooling for software and engineering productivity (e.g., Copilot, ChatGPT, Cursor, Claude-code)
Excellent communication skills and a collaborative working style across disciplines
Some experience in advanced ML architectures (Transformers or SSM), agent-based systems or recommendation systems is a plus, but not required.
There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams.
Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical.
We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter.
Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.
Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
Standard company text repeated across Halter's postings is omitted here.