This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital Phenotyping Sr Engineer in the United States.

This role offers an exciting opportunity to lead the deployment and optimization of advanced digital phenotyping platforms that transform how phenotypic data is collected and leveraged for genetic improvement programs. You will work collaboratively with cross-functional teams, applying technical expertise in machine learning, signal processing, and data engineering to enable data-driven decisions. The ideal candidate thrives in a fast-paced, culturally diverse environment and is passionate about using technology to advance precision agriculture. This position combines hands-on engineering with strategic problem-solving to enhance data collection efficiency and integrate innovative solutions. The role is fully remote within the United States with occasional travel.

Accountabilities:
Deploy, implement, and support high-throughput digital phenotyping platforms for agricultural and genetic applications.
Optimize data acquisition workflows from farm to computing resources, including edge and cloud-based systems.
Collaborate with genetics, animal science, and supply chain teams to integrate and scale new phenotyping technologies.
Support research initiatives to evaluate and improve digital tools for data collection and analysis.
Communicate technical findings and provide actionable insights to management and stakeholders.
Stay current with advancements in AI, machine learning, and precision livestock farming technologies.
Requirements:
University degree in Computer Science, Electrical/Computer Engineering, Agriculture/Biosystems Engineering, Mechanical Engineering, Information Technology, or a related field.
Minimum 5 years of experience in statistics, signal processing, time series data, and machine learning.
Proficiency with Python, scripting languages, SQL databases, and MS Office suite; experience with other relevant software platforms is a plus.
Strong analytical skills with the ability to organize, analyze, and disseminate large datasets accurately.
Excellent communication skills and ability to work effectively across multidisciplinary teams.
Experience in remote work environments and willingness to travel up to 20%.
Benefits:
Competitive salary range of $72,000 - $118,000 USD, reflective of experience and qualifications.
Comprehensive healthcare coverage including medical, dental, and vision.
401(k) retirement plan with employer contributions.
Short-term and long-term disability coverage.
Tuition reimbursement and opportunities for professional development.
Paid holidays, flexible employee time off, and other standard benefits.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply for this job