Senior ML Engineer

Apex Systems; Ann Arbor (MI); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401K with match

Employee stock purchase program (ESPP)

HSA

Job summary

Everforth Apex Systems is seeking a Senior ML Engineer in Ann Arbor (Remote) to lead end-to-end Vision-Language-Action data pipelines for autonomous vehicle research. You will own the dataset layer, enabling scalable annotation, auto-labeling, and rigorous data validation.

The role requires senior expertise in CV/DL, multimodal ML, and cloud data processing, with a track record of mentoring and leading technical teams. Remote-friendly with strong collaboration across locations.

Qualifications

• Requires 6+ years with Bachelor's or 3+ with Master's in a related technical field.
• Strong background in computer vision or multimodal ML is expected.
• Experience building cloud-based pipelines and data processing for large-scale datasets.

Responsibilities

• Design, implement, test, and deploy cloud-based data pipelines for VLA training datasets.
• Develop open-vocabulary detection, dense captioning, and semantic enrichment.
• Produce language-grounded reasoning and annotation for VLA training.
• Identify rare/high-uncertainty scenarios to improve model metrics.
• Define dataset schemas, quality metrics, and validation processes.
• Collaborate with model teams to specify dataset requirements and enable continuous delivery.
• Build distributed pipelines using columnar data formats and distributed compute.
• Lead projects, mentor engineers, and set coding/annotation standards.
• Track advances in multimodal models and auto-labeling for practical use.

Skills

CV & DL

Multimodal models

PyTorch

Docker

GitHub Actions

Education

Bachelor's Degree in CS/Robotics/EE

Master's Degree in related field

Tools

Databricks

Pandas

Job description

Job#: 3054135

Job Description:

Senior ML Engineer

Location: Ann Arbor, Michigan (Remote)

Role Overview

This position is for a Senior Machine Learning Engineer to join a team focused on developing end-to-end Vision-Language-Action (VLA) models for autonomous vehicles. The team is responsible for converting petabytes of multi-modal fleet data into high-quality, semantically rich training datasets. This role will own the dataset layer that these advanced models learn from, playing a part in the data flywheel that includes mining failure cases, auto-labeling at scale, and validating data quality.

Key Responsibilities

• Design, implement, test, and deploy cloud-based pipelines to convert logged multi-sensor data into VLM/VLA training datasets.
• Develop open-vocabulary detection, dense captioning, and semantic enrichment using foundation models to scale annotation.
• Produce language-grounded reasoning and chain-of-causation style annotations to support VLA training.
• Surface rare, difficult, and high-uncertainty scenarios to build curated datasets that improve downstream model metrics.
• Define dataset schemas, quality metrics, and validation processes, tracking auto-labeling quality against model requirements.
• Partner with VLM/VLA model developers to define dataset specifications and operationalize a continuous delivery loop.
• Build distributed, reproducible pipelines using columnar data formats and distributed compute.
• Serve as a project lead, mentor engineers, conduct design reviews, and set coding and annotation standards.
• Track advances in multimodal models, auto-labeling, and end-to-end autonomous driving to apply relevant research.

Required Qualifications

Education

A Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related technical field with competences typically acquired through 6+ years of experience, or a Master's Degree in a related technical field with competences typically acquired through 3+ years of experience.

Experience

Must be highly skilled and proficient, able to conduct complex work under minimal supervision. Expected to drive alignment across team interfaces, own technical solutions, and mentor other engineers.

Technical Skills

• Computer Vision & Deep Learning: Model training and expertise in at least two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, BEV, or Depth Estimation.
• Multimodal / VLM Experience: Hands‑on work with vision‑language models, open‑vocabulary recognition, dense captioning, or semantic search applied to perception data.
• Model Data Curation: Building targeted datasets and large‑scale Parquet data processing (e.g., Databricks, Daft, Pandas).
• Distributed ML & Data Frameworks: Experience with PyTorch, Lightning, Ray, Spark, or equivalent.
• Scaled MLOps & Tooling: Knowledge of experiment tracking, model registry (e.g., MLflow, Weights & Biases), and ML metrics.
• Development Tools: Strong Python software development skills, experience with VDI and cloud‑based environments, CI systems (e.g., GitHub Actions), and Docker.

Preferred Qualifications

• Familiarity with VLM/VLA or end‑to‑end driving models and reasoning‑trace datasets.
• Experience with auto‑labeling foundation models for annotation and verification.
• Knowledge of high‑throughput model serving frameworks like vLLM or SGLang.
• Experience with semantic inference, retrieval, and vector databases such as LanceDB.
• Familiarity with AV data standards (e.g., Pegasus layers) and robotics formats (e.g., ROS bags, MCAP).
• Proficiency in cloud development and orchestration, including Terraform and AWS managed services.
• Experience with data visualization tools like Foxglove or FiftyOne.
• Contributions to closed‑loop/open‑loop evaluation frameworks or publications in top‑tier AI/Robotics venues.

Everforth Apex is a world‑class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on‑demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.

UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

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Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.

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Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.