Machine Learning Engineer (Remote - US)
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer in the United States.
As a Machine Learning Engineer, you will develop and deploy cutting-edge AI solutions that transform the way complex financial and tax documents are processed. You will focus on natural language processing (NLP) for unstructured and semi-structured data, driving high-impact projects that improve automation, accuracy, and efficiency. This role offers a combination of hands-on modeling, collaboration with cross-functional teams, and mentorship of junior colleagues. You will influence software product capabilities, translate business challenges into technical solutions, and help shape the future of AI-driven data processing in the financial domain. This fully remote position allows you to contribute from anywhere while remaining closely connected to a dynamic, innovative team.
Accountabilities
- Develop and optimize machine learning models for parsing, extracting, and categorizing information from complex financial and tax documents.
- Collaborate with software, product, and data teams to integrate machine learning solutions into production systems.
- Conduct statistical analyses to identify patterns, trends, and actionable insights that drive product and business improvements.
- Lead end-to-end machine learning projects, from data acquisition and preprocessing to model deployment and monitoring.
- Mentor and guide junior data scientists and engineers, fostering a collaborative and innovative environment.
- Stay current with advances in NLP, NLU, and ML technologies, and apply best practices to enhance workflows and model performance.
- Master’s or PhD in Computer Science, Mathematics, Statistics, Data Science, or a related field (or equivalent experience).
- 6+ years of experience in data science or machine learning, with a strong focus on NLP/NLU projects.
- Proven ability to lead end-to-end data science project implementations.
- Expertise in Python and machine learning frameworks/libraries such as scikit-learn, PyTorch, spaCy, and Huggingface.
- Strong problem-solving skills with the ability to communicate complex technical results to both technical and non-technical stakeholders.
- Preferred: experience applying NLP to financial documents, familiarity with alternative investment accounting, and deploying ML models with containerization/orchestration technologies.
- Unlimited Vacation Policy, plus Sick Time and Holidays
- Paid Parental Leave
- Fully Remote Work Opportunity
- Comprehensive Healthcare Benefits
- 401(k) Retirement Plan
- Collaborative, growing startup culture with opportunities for professional development
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 3 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
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Work remotely as a Data Analyst producing and evaluating high-quality data to improve AI system performance while collaborating with a global network of experts.
Lead the product vision and roadmap for core distribution products, guiding a team of product managers to deliver exceptional developer experiences at scale.
Hagerty seeks a Decision Science Analyst II to transform data into actionable insights through SQL, Python/R, and modern BI tools in a fully remote U.S. role.
Work at a Series C AI startup in San Francisco as a Model Engineer building and shipping production ML models for network fault prediction and autonomous repair.
Join Ziplines Education as a Data Scientist to build scalable data models and predictive analytics that directly inform strategy and fuel company growth.
Lead global data science and AI efforts at Visa to design, build, and scale secure, high-performance payment data products as a Principal Data Scientist.
Alembic is hiring an Applied Scientist to build and deploy production causal-inference systems that solve enterprise marketing measurement problems.
Senior Python Engineer needed to build scalable ML and ETL pipelines, deploy models, and drive data-driven solutions for a fast-moving onsite team in Snoqualmie, WA.
Experienced AI/ML Analyst needed to build, evaluate, and deploy machine learning and deep learning models while translating model outputs into actionable recommendations across projects.
Work within Lilly’s Statistics, Data & Analytics team as a Computational Statistician Intern to lead a project using statistical programming and analysis to impact drug development and business decisions.
Work remotely as an AI/ML Engineer building and deploying optimized machine learning models and pipelines for cutting-edge mobile apps.
Quantcast is hiring a Staff Machine Learning Engineer to lead the design and operation of large-scale, real-time ML systems that drive its AI-powered DSP.
Experian Automotive is hiring a remote Data Analyst to build scalable analytics solutions, develop predictive and forecasting models, and translate complex data into actionable insights for cross-functional stakeholders.
Lead Merkle's client analytics and measurement strategy to quantify media impact and improve business performance for B2B clients.
Senior Data Scientist I needed to develop production-ready ML models, run A/B tests, and deliver analytics that drive product and operational improvements in a remote-first US environment.
Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...
1161 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
