Machine Learning Engineers (Remote, Continental United States) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Engineering, Data Science, Python, TensorFlow, PyTorch, Keras, AWS, Statistical Analysis, Model Optimization, Version Control, CI/CD, Communication, Continuous Learning, Algorithm Development, Data Structures

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for Machine Learning Engineers in United States. We are seeking talented Machine Learning Engineers to join a collaborative and innovative team focused on developing intelligent solutions that drive real-world impact. This role involves designing, building, and deploying machine learning models while working closely with data engineers, data scientists, and product teams. The ideal candidate thrives in a dynamic environment where complex data problems are solved with scalable, production-ready systems. You will contribute to advancing AI capabilities, optimizing algorithms for performance and reliability, and turning prototypes into impactful solutions. This position offers opportunities to stay at the cutting edge of ML research and applications while delivering tangible results across multiple domains. Accountabilities: Develop, implement, and maintain machine learning models and systems to address complex business challenges. Transform data science prototypes into scalable, production-ready solutions. Research and apply appropriate ML algorithms, frameworks, and tools. Collaborate with cross-functional teams to design efficient data pipelines and integrate ML applications into products. Run experiments, perform statistical analysis, and fine-tune models for performance, scalability, and reliability. Monitor deployed models and iterate to continuously improve results. Stay current with emerging ML techniques and proactively identify opportunities to apply them. 2+ years of experience developing and deploying machine learning models in a professional setting. Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Applied Mathematics, or a related field. Strong programming skills in Python, with experience in ML frameworks such as TensorFlow, PyTorch, or Keras. At least one year of experience with cloud platforms, preferably AWS (EC2, S3, Lambda, SageMaker). Solid understanding of ML algorithms, data structures, and software engineering principles. Experience handling large datasets and building scalable ML solutions. Familiarity with front-end development to support ML applications. Knowledge of version control tools (Git) and CI/CD pipelines. Excellent written and verbal communication skills for collaboration with technical and non-technical teams. Continuous learning mindset with a passion for staying updated on ML and AI advancements. Ability to obtain a Public Trust Clearance. Competitive salary with performance-based incentives. 100% employer-paid health insurance premiums, dental, and vision coverage. Health and Flexible Spending Accounts. Life and disability insurance. 401(k) plan with company match. Paid time off including vacation, sick leave, and holidays. Education and professional development assistance. Remote work from anywhere within the continental United States. 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 historical success factors to determine your match score. 🎯 The top 3 candidates with the highest match are automatically shortlisted. 🧠 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 shortlisted, your profile is shared with the hiring company, who will manage interviews and next steps. Thank you for your interest! #LI-CL1

Responsibilities

Develop and maintain machine learning models to solve complex business challenges. Collaborate with cross-functional teams to integrate ML applications into products and optimize algorithms for performance.