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Frontier Distribution Jobs (NOW HIRING)

Frontier Senior Living

Sales Director

Kennewick, WA

Frontier Senior Living is seeking an outstanding Sales Director to join Callaway Gardens Alzheimer ... Manages inventory and distribution of all collateral marketing materials including handouts ...

Frontier Land Surveying

Administrative Assistant

Edmond, OK · On-site

$15.25 - $20.50/hr

Frontier Land Surveying is searching for an individual to assist with accounts payable and ... Creation and processing of letters for mail distribution * Assistance with project production ...

Frontier Auto Parts

Be Seen First

Customer Service Representative (Spanish)

Raleigh, NC · On-site

$15.50 - $17/hr

Frontier Auto Parts (www.frontierparts.com) is an aftermarket auto parts distributor providing quality auto body collision parts to repair shops in and around the Raleigh region since 1998. We are ...

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Frontier Distribution information

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How much do frontier distribution jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for frontier distribution in the United States is $18.18, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $20.67 per hour, depending on experience, location, and employer.

What is the difference between Frontier Distribution vs Warehouse Associate?

AspectFrontier DistributionWarehouse Associate
Primary RoleManaging distribution logistics, coordinating shipments, overseeing inventory movementHandling daily warehouse tasks like packing, shipping, receiving, and stocking
Required CredentialsLogistics or distribution certifications often preferredHigh school diploma or equivalent, basic warehouse safety training
Work EnvironmentDistribution centers, warehouses, logistics hubsWarehouses, storage facilities, shipping docks
Industry UsageSupply chain, logistics, distribution companiesRetail, manufacturing, logistics companies

Frontier Distribution focuses on managing the overall distribution process and logistics coordination, while Warehouse Associates handle the day-to-day physical tasks within a warehouse. Both roles are essential in the supply chain but differ in scope and responsibilities.

What are some common challenges faced by professionals working in Frontier Distribution, and how can they be addressed?

Professionals in Frontier Distribution often encounter challenges such as managing logistics in remote or underdeveloped regions, coping with unpredictable supply chain disruptions, and ensuring timely deliveries despite infrastructure limitations. Building strong relationships with local partners and leveraging technology for real-time tracking can help overcome these hurdles. Additionally, adaptability, problem-solving skills, and a proactive approach to risk management are crucial for success in this dynamic environment.

What is a Frontier Distribution worker?

A Frontier Distribution worker is typically involved in the logistics and transportation of goods to and from remote or challenging locations, often at the edge of established supply chains. Their responsibilities may include inventory management, coordination of shipments, and ensuring timely and secure delivery of products in less accessible areas. This role is critical in industries like humanitarian aid, mining, or oil and gas, where reliable distribution to frontier regions is essential. Workers may also need to adapt to unpredictable conditions and use problem-solving skills to overcome logistical challenges.

What are the key skills and qualifications needed to thrive as a Distribution Manager, and why are they important?

To thrive as a Distribution Manager, you need expertise in supply chain management, inventory control, and logistics, often backed by a degree in business, logistics, or a related field. Familiarity with warehouse management systems (WMS), enterprise resource planning (ERP) software, and certifications like APICS or Six Sigma are highly valued. Strong leadership, problem-solving, and communication skills set top performers apart in this role. These skills and qualifications are crucial for ensuring efficient operations, minimizing costs, and maintaining high customer satisfaction in a fast-paced distribution environment.
Infographic showing various Frontier Distribution job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $37,824 per year, or $18.2 per hour.

Research Engineer, Frontier Capabilities

Lila Sciences

Cambridge, MA • On-site, Remote

Other

Posted 15 days ago

Job description

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end - supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

  • Strong software engineering skills in Python; C++/CUDA a plus
  • Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
  • Understanding of large-scale model training techniques for 100B+ models
  • Experience with cloud or HPC environment
  • Ability to communicate technical results to internal and external stakeholders

Bonus Points For

  • Prior work with large scale scientific datasets or domain-specific modeling
  • Contributions to open-source ML frameworks
  • Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
  • Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

Apply