diff --git a/examples/reproducer/run.sh b/examples/reproducer/run.sh
new file mode 100644
index 00000000..1b4d0d88
--- /dev/null
+++ b/examples/reproducer/run.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+set -e
+
+tesseract --loglevel debug build .
+
+docker system prune --force
+
+tesseract run reproducer apply '{"inputs":{}}' --output-path outputs
diff --git a/examples/reproducer/tesseract_api.py b/examples/reproducer/tesseract_api.py
new file mode 100644
index 00000000..ef4b37bb
--- /dev/null
+++ b/examples/reproducer/tesseract_api.py
@@ -0,0 +1,39 @@
+from concurrent.futures import ProcessPoolExecutor
+
+import numpy as np
+from pydantic import BaseModel
+
+
+class InputSchema(BaseModel):
+    pass
+
+
+class OutputSchema(BaseModel):
+    pass
+
+
+# FIXME: if pool.submit uses a function defined in tesseract_api.py
+# we get a pickling error: module tesseract_api not found.
+def preprocess_fn(data_id: int):
+    print(data_id, "processing")
+    return data_id
+
+
+def apply(inputs):
+    data_ids = list(range(10))
+
+    pool = ProcessPoolExecutor()
+    futures = []
+
+    for idx in data_ids:
+        # this causes the pickling error
+        # x = pool.submit(preprocess_fn, idx)
+        x = pool.submit(np.identity, idx)
+        futures.append(x)
+        print(idx, "submitted")
+
+    for f in futures:
+        res = f.result()
+        print(res, "done")
+
+    return OutputSchema()
diff --git a/examples/reproducer/tesseract_config.yaml b/examples/reproducer/tesseract_config.yaml
new file mode 100644
index 00000000..4b3e1797
--- /dev/null
+++ b/examples/reproducer/tesseract_config.yaml
@@ -0,0 +1,2 @@
+name: "reproducer"
+version: "0.0.1"
diff --git a/tesseract_core/runtime/logs.py b/tesseract_core/runtime/logs.py
index 4376cab2..6124a272 100644
--- a/tesseract_core/runtime/logs.py
+++ b/tesseract_core/runtime/logs.py
@@ -22,8 +22,9 @@ def __init__(self, *sinks: Callable) -> None:
         super().__init__()
         self._sinks = sinks
         self._fd_read, self._fd_write = os.pipe()
-        self._pipe_reader = os.fdopen(self._fd_read)
+        self._pipe_reader = os.fdopen(self._fd_read, closefd=False)
         self._captured_lines = []
+        self._lock = threading.Lock()
 
     def __enter__(self) -> int:
         """Start the thread and return the write file descriptor of the pipe."""
@@ -32,13 +33,19 @@ def __enter__(self) -> int:
 
     def __exit__(self, *args: Any) -> None:
         """Close the pipe and join the thread."""
-        os.close(self._fd_write)
-        # Use a timeout so something weird happening in the logging thread doesn't
-        # cause this to hang indefinitely
-        self.join(timeout=10)
-        # Do not close reader before thread is joined since there may be pending data
-        # This also closes the fd_read pipe
-        self._pipe_reader.close()
+        with self._lock:
+            os.close(self._fd_write)
+
+            # Use a timeout so something weird happening in the logging thread doesn't
+            # cause this to hang indefinitely
+            #
+            # FIXME: this always times out in the multiprocessing case?
+            self.join(timeout=1)
+
+            # Do not close reader before thread is joined since there may be pending data
+            # This also closes the fd_read pipe
+            os.close(self._fd_read)
+            self._pipe_reader.close()
 
     def fileno(self) -> int:
         """Return the write file descriptor of the pipe."""