ML Engineer, II - Perception
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We should map content to these headings where appropriate. The posting has "What You'll Do" => Responsibilities. "What You'll Need To Succeed" => Requirements/Qualifications. "Bonus Points!" => Skills (or additional qualifications). "Perks of Being a full-time Torc'r" => Benefits. Pay range => Pay. Work Location maybe not a heading; could be folded into a short
or dropped. "About The Company" maybe not a required heading; but we could treat as About the role? Not exactly. The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." It doesn't forbid having About The Company heading, but the list of suggested headings includes About the role, Responsibilities, etc. It says "Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we should use those headings only if we have content. We have content for Responsibilities, Requirements, Skills, Benefits, Pay. Possibly also About the role? Not present. Could we treat "About The Company" as About the role? Not really. Better to omit About the role heading if no specific content. But we could include a short paragraph about the company under a generic
without heading? The instruction: "Prefer a few substantive sections over many thin ones." So we can include About the company as a
without heading? But they said use
for section headings (e.g. About the role...). It doesn't forbid other headings, but suggests using those. I'd include About the company as a
without heading, or maybe under a heading "About the role"? Not accurate. Safer: include a
describing the company (the "About The Company" paragraph) without a heading, then sections for Responsibilities, Requirements, Skills, Benefits, Pay. Also include "Work Location" maybe as a
after Benefits? Could fold into a short
. The instruction: "Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it." Work location is not minor metadata? It's location info. Could be a short
. We'll include a
for Work Location. We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like EEO, diversity statement, etc. Also remove duplicated lines, cookie/navigation/legal/EEO etc. The posting includes an EEO statement at end: "At Torc, we're committed to building a diverse and inclusive workplace..." That's boilerplate; remove. Also "Even if you don't meet 100%..." also maybe considered encouraging but could be considered boilerplate? It's not EEO but still generic encouragement; maybe keep? It's not specific to role; but it's still a generic statement. Safer to remove? The instruction: "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." The "Even if you don't meet 100%..." is not exactly EEO but could be considered generic encouragement; but it's not application instructions. Might keep? It's not substantive about role. I'd remove it to keep focused. Also remove "Job ID: R-102870" and maybe the hiring range line we need to keep for Pay section. We need to output only HTML fragment, no /, no markdown fences. Let's extract content: About The Company paragraph: "At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer." Meet the Team paragraph: "Torc Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale. It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users. We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will be the person who makes sure a model team's replay/recompute jobs run at scale, that the metrics coming out are interpretable and auditable, and that engineers can visualize what their model is doing. Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between "simulation platform" and "autonomy model.”" What You'll Do (Responsibilities): List bullet points: - Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim - Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale - Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation - Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog - Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) so you can implement and own integrations - Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics — and drive them to resolution - Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap - Document workflows and onboard new users so adoption scales beyond your own hands-on support What You'll Need To Succeed (Requirements/Qualifications): Paragraph: "Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience" Then bullet list: - Strong Python skills and experience building or operating data pipelines at scale - Experience working with simulation, replay, or model validation - Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume - Comfort working across cloud storage and compute - Strong cross-team communication skills — you'll be translating between a platform team and one or two embedded Autonomy teams on a daily basis - A bias toward hands-on problem solving: you're as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner Bonus Points! (Skills): Bullet list: - Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role - Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically - Experience with simulation or replay frameworks for autonomous vehicles or robotics - Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js - Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas) - Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods) - Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions) Work Location: "For this position, we are hiring Remote in the United States and Canada." Perks of Being a full-time Torc'r (Benefits): Paragraph: "Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:" Then bullet list: - A competitive compensation package that includes a bonus component and stock options - 100% paid medical, dental, and vision premiums for full-time employees - 401K plan with a 6% employer match - Flexibility in schedule and generous paid vacation (available immediately after start date) - Company-wide holiday office closures - AD+D and Life Insurance Pay: "Hiring Range for Job Opening US Pay Range $153,200—$183,800 USD" Also maybe mention "Total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits." That's more details about compensation; we could include in Pay section or Benefits. Since we already have Benefits, we could add extra bullet about bonus component and stock options already there. The extra about sign-on payments etc could be added to Pay or Benefits. To preserve all substantive info, we should include that. It's under Perks section after bullet list? Actually after the bullet list there is text: "At Torc, we're committed to building a diverse and inclusive workplace..." which we removed. Before that there is: "Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits." This is substantive about compensation; we should keep it. Could be placed under Pay section as additional details. Thus Pay section: include the hiring range and also note that total compensation includes bonus and stock option, sign-on payments, relocation, etc. We must not repeat job title as heading. No headings for Job ID. Now produce HTML:
Responsibilities
- ...
Requirements
Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
- ...
Skills
- ...
Benefits
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- ...
Pay
Hiring Range for Job Opening US Pay Range $153,200—$183,800 USD. Torc's total compensation package will also include our corporate bonus and stock option